+ 
+ Figure 1. Piecewise-linear production cost curve.
+
+
+```
+
+#### Additional remarks:
+
+- For time-dependent production limits or time-dependent production costs, the usage of nested arrays is allowed. For example, if `Production cost curve (MW)` is set to `[5.0, [10.0, 12.0, 15.0, 20.0]]`, then the unit may generate at most 10, 12, 15 and 20 MW of power during time steps 1, 2, 3 and 4, respectively. The minimum output for all time periods is fixed to at 5 MW.
+- There is no limit to the number of piecewise-linear segments, and different generators may have a different number of segments.
+- If `Production cost curve (MW)` and `Production cost curve ($)` both contain a single element, then the generator must produce exactly that amount of power when operational. To specify that the generator may produce any amount of power up to a certain limit `P`, the parameter `Production cost curve (MW)` should be set to `[0, P]`.
+- Production cost curves must be convex.
+
+#### Example
+
+```json
+{
+ "Generators": {
+ "gen1": {
+ "Bus": "b1",
+ "Type": "Thermal",
+ "Production cost curve (MW)": [100.0, 110.0, 130.0, 135.0],
+ "Production cost curve ($)": [1400.0, 1600.0, 2200.0, 2400.0],
+ "Startup costs ($)": [300.0, 400.0],
+ "Startup delays (h)": [1, 4],
+ "Ramp up limit (MW)": 232.68,
+ "Ramp down limit (MW)": 232.68,
+ "Startup limit (MW)": 232.68,
+ "Shutdown limit (MW)": 232.68,
+ "Minimum downtime (h)": 4,
+ "Minimum uptime (h)": 4,
+ "Initial status (h)": 12,
+ "Initial power (MW)": 115,
+ "Must run?": false,
+ "Reserve eligibility": ["r1"]
+ },
+ "gen2": {
+ "Bus": "b5",
+ "Type": "Thermal",
+ "Production cost curve (MW)": [0.0, [10.0, 8.0, 0.0, 3.0]],
+ "Production cost curve ($)": [0.0, 0.0],
+ "Initial status (h)": -100,
+ "Initial power (MW)": 0,
+ "Reserve eligibility": ["r1", "r2"],
+ "Commitment status": [true, false, null, true]
+ },
+ "gen3": {
+ "Bus": "b6",
+ "Type": "Profiled",
+ "Minimum power (MW)": 10.0,
+ "Maximum power (MW)": 120.0,
+ "Cost ($/MW)": 100.0
+ }
+ }
+}
+```
+
+### Storage units
+
+This section describes energy storage units in the system which charge and discharge power. The storage units consume power while charging, and generate power while discharging.
+
+| Key | Description | Default | Time series? | Uncertain? |
+| :-------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------- | :-------------------: | :----------: | :--------: |
+| `Bus` | Bus where the storage unit is located. Multiple storage units may be placed at the same bus. | Required | No | Yes |
+| `Minimum level (MWh)` | Minimum of energy level this storage unit may contain. | `0.0` | Yes | Yes |
+| `Maximum level (MWh)` | Maximum of energy level this storage unit may contain. | Required | Yes | Yes |
+| `Allow simultaneous charging and discharging` | If `false`, the storage unit is not allowed to charge and discharge at the same time (Boolean). | `true` | Yes | Yes |
+| `Charge cost ($/MW)` | Cost incurred for charging each MW of power into this storage unit. | Required | Yes | Yes |
+| `Discharge cost ($/MW)` | Cost incurred for discharging each MW of power from this storage unit. | Required | Yes | Yes |
+| `Charge efficiency` | Efficiency rate to charge power into this storage unit. This value must be greater than or equal to `0.0`, and less than or equal to `1.0`. | `1.0` | Yes | Yes |
+| `Discharge efficiency` | Efficiency rate to discharge power from this storage unit. This value must be greater than or equal to `0.0`, and less than or equal to `1.0`. | `1.0` | Yes | Yes |
+| `Loss factor` | The energy dissipation rate of this storage unit. This value must be greater than or equal to `0.0`, and less than or equal to `1.0`. | `0.0` | Yes | Yes |
+| `Minimum charge rate (MW)` | Minimum amount of power rate this storage unit may charge. | `0.0` | Yes | Yes |
+| `Maximum charge rate (MW)` | Maximum amount of power rate this storage unit may charge. | Required | Yes | Yes |
+| `Minimum discharge rate (MW)` | Minimum amount of power rate this storage unit may discharge. | `0.0` | Yes | Yes |
+| `Maximum discharge rate (MW)` | Maximum amount of power rate this storage unit may discharge. | Required | Yes | Yes |
+| `Initial level (MWh)` | Amount of energy this storage unit at time step `-1`, immediately before the planning horizon starts. | `0.0` | No | Yes |
+| `Last period minimum level (MWh)` | Minimum of energy level this storage unit may contain in the last time step. By default, this value is the same as the last value of `Minimum level (MWh)`. | `Minimum level (MWh)` | No | Yes |
+| `Last period maximum level (MWh)` | Maximum of energy level this storage unit may contain in the last time step. By default, this value is the same as the last value of `Maximum level (MWh)`. | `Maximum level (MWh)` | No | Yes |
+
+#### Example
+
+```json
+{
+ "Storage units": {
+ "su1": {
+ "Bus": "b2",
+ "Maximum level (MWh)": 100.0,
+ "Charge cost ($/MW)": 2.0,
+ "Discharge cost ($/MW)": 2.5,
+ "Maximum charge rate (MW)": 10.0,
+ "Maximum discharge rate (MW)": 8.0
+ },
+ "su2": {
+ "Bus": "b2",
+ "Minimum level (MWh)": 10.0,
+ "Maximum level (MWh)": 100.0,
+ "Allow simultaneous charging and discharging": false,
+ "Charge cost ($/MW)": 3.0,
+ "Discharge cost ($/MW)": 3.5,
+ "Charge efficiency": 0.8,
+ "Discharge efficiency": 0.85,
+ "Loss factor": 0.01,
+ "Minimum charge rate (MW)": 5.0,
+ "Maximum charge rate (MW)": 10.0,
+ "Minimum discharge rate (MW)": 2.0,
+ "Maximum discharge rate (MW)": 10.0,
+ "Initial level (MWh)": 70.0,
+ "Last period minimum level (MWh)": 80.0,
+ "Last period maximum level (MWh)": 85.0
+ },
+ "su3": {
+ "Bus": "b9",
+ "Minimum level (MWh)": [10.0, 11.0, 12.0, 13.0],
+ "Maximum level (MWh)": [100.0, 110.0, 120.0, 130.0],
+ "Allow simultaneous charging and discharging": [false, false, true, true],
+ "Charge cost ($/MW)": [2.0, 2.1, 2.2, 2.3],
+ "Discharge cost ($/MW)": [1.0, 1.1, 1.2, 1.3],
+ "Charge efficiency": [0.8, 0.81, 0.82, 0.82],
+ "Discharge efficiency": [0.85, 0.86, 0.87, 0.88],
+ "Loss factor": [0.01, 0.01, 0.02, 0.02],
+ "Minimum charge rate (MW)": [5.0, 5.1, 5.2, 5.3],
+ "Maximum charge rate (MW)": [10.0, 10.1, 10.2, 10.3],
+ "Minimum discharge rate (MW)": [4.0, 4.1, 4.2, 4.3],
+ "Maximum discharge rate (MW)": [8.0, 8.1, 8.2, 8.3],
+ "Initial level (MWh)": 20.0,
+ "Last period minimum level (MWh)": 21.0,
+ "Last period maximum level (MWh)": 22.0
+ }
+ }
+}
+```
+
+### Price-sensitive loads
+
+This section describes components in the system which may increase or reduce their energy consumption according to the energy prices. Fixed loads (as described in the `buses` section) are always served, regardless of the price, unless there is significant congestion in the system or insufficient production capacity. Price-sensitive loads, on the other hand, are only served if it is economical to do so.
+
+| Key | Description | Default | Time series? | Uncertain? |
+| :--------------- | :------------------------------------------------------------------------------------------- | :------: | :----------: | :--------: |
+| `Bus` | Bus where the load is located. Multiple price-sensitive loads may be placed at the same bus. | Required | No | Yes |
+| `Revenue ($/MW)` | Revenue obtained for serving each MW of power to this load. | Required | Yes | Yes |
+| `Demand (MW)` | Maximum amount of power required by this load. Any amount lower than this may be served. | Required | Yes | Yes |
+
+#### Example
+
+```json
+{
+ "Price-sensitive loads": {
+ "p1": {
+ "Bus": "b3",
+ "Revenue ($/MW)": 23.0,
+ "Demand (MW)": 50.0
+ }
+ }
+}
+```
+
+### Transmission lines
+
+This section describes the characteristics of transmission system, such as its topology and the susceptance of each transmission line.
+
+| Key | Description | Default | Time series? | Uncertain? |
+| :-------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------- | :----------: | :--------: |
+| `Source bus` | Identifier of the bus where the transmission line originates. | Required | No | Yes |
+| `Target bus` | Identifier of the bus where the transmission line reaches. | Required | No | Yes |
+| `Susceptance (S)` | Susceptance of the transmission line (in siemens). | Required | No | Yes |
+| `Normal flow limit (MW)` | Maximum amount of power (in MW) allowed to flow through the line when the system is in its regular, fully-operational state. | `+inf` | Yes | Yes |
+| `Emergency flow limit (MW)` | Maximum amount of power (in MW) allowed to flow through the line when the system is in degraded state (for example, after the failure of another transmission line). | `+inf` | Y | Yes |
+| `Flow limit penalty ($/MW)` | Penalty for violating the flow limits of the transmission line (in $/MW). This is charged per time step. For example, if there is a thermal violation of 1 MW for three time steps, then three times this amount will be charged. | `5000.0` | Yes | Yes |
+
+#### Example
+
+```json
+{
+ "Transmission lines": {
+ "l1": {
+ "Source bus": "b1",
+ "Target bus": "b2",
+ "Susceptance (S)": 29.49686,
+ "Normal flow limit (MW)": 15000.0,
+ "Emergency flow limit (MW)": 20000.0,
+ "Flow limit penalty ($/MW)": 5000.0
+ }
+ }
+}
+```
+
+### Reserves
+
+This section describes the hourly amount of reserves required.
+
+| Key | Description | Default | Time series? | Uncertain? |
+| :------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------- | :----------: | :--------: |
+| `Type` | Type of reserve product. Must be either "spinning" or "flexiramp". | Required | No | No |
+| `Amount (MW)` | Amount of reserves required. | Required | Yes | Yes |
+| `Shortfall penalty ($/MW)` | Penalty for shortage in meeting the reserve requirements (in $/MW). This is charged per time step. Negative value implies reserve constraints must always be satisfied. | `-1` | Yes | Yes |
+
+#### Example 1
+
+```json
+{
+ "Reserves": {
+ "r1": {
+ "Type": "spinning",
+ "Amount (MW)": [57.30552, 53.88429, 51.31838, 50.46307],
+ "Shortfall penalty ($/MW)": 5.0
+ },
+ "r2": {
+ "Type": "flexiramp",
+ "Amount (MW)": [20.31042, 23.65273, 27.41784, 25.34057]
+ }
+ }
+}
+```
+
+### Contingencies
+
+This section describes credible contingency scenarios in the optimization, such as the loss of a transmission line or generator.
+
+| Key | Description | Default | Uncertain? |
+| :-------------------- | :------------------------------------------------------------------------------------------------ | :-----: | :--------: |
+| `Affected generators` | List of generators affected by this contingency. May be omitted if no generators are affected. | `[]` | Yes |
+| `Affected lines` | List of transmission lines affected by this contingency. May be omitted if no lines are affected. | `[]` | Yes |
+
+#### Example
+
+```json
+{
+ "Contingencies": {
+ "c1": {
+ "Affected lines": ["l1", "l2", "l3"],
+ "Affected generators": ["g1"]
+ },
+ "c2": {
+ "Affected lines": ["l4"]
+ }
+ }
+}
+```
+
+### Additional remarks
+
+#### Time series parameters
+
+Many numerical properties in the JSON file can be specified either as a single floating point number if they are time-independent, or as an array containing exactly `T` elements, if they are time-dependent, where `T` is the number of time steps in the planning horizon. For example, both formats below are valid when `T=3`:
+
+```json
+{
+ "Load (MW)": 800.0,
+ "Load (MW)": [800.0, 850.0, 730.0]
+}
+```
+
+The value `T` depends on both `Time horizon (h)` and `Time step (min)`, as the table below illustrates.
+
+| Time horizon (h) | Time step (min) | T |
+| :--------------: | :-------------: | :-: |
+| 24 | 60 | 24 |
+| 24 | 15 | 96 |
+| 24 | 5 | 288 |
+| 36 | 60 | 36 |
+| 36 | 15 | 144 |
+| 36 | 5 | 432 |
+
+## Current limitations
+
+- Network topology must remain the same for all time periods.
+- Only N-1 transmission contingencies are supported. Generator contingencies are not currently supported.
+- Time-varying minimum production amounts are not currently compatible with ramp/startup/shutdown limits.
+- Flexible ramping products can only be acquired under the `WanHob2016` formulation, which does not support spinning reserves.
+- The set of generators must be the same in all scenarios.
diff --git a/docs/src/guides/instances.md b/docs/src/guides/instances.md
new file mode 100644
index 0000000000000000000000000000000000000000..9cb5a769652a091debdc4da262059d03f73a433c
--- /dev/null
+++ b/docs/src/guides/instances.md
@@ -0,0 +1,289 @@
+# Benchmark instances
+
+UnitCommitment.jl provides a large collection of benchmark instances collected from the literature and converted to a [common data format](../guides/format.md). In some cases, as indicated below, the original instances have been extended, with realistic parameters, using data-driven methods. If you use these instances in your research, we request that you cite UnitCommitment.jl, as well as the original sources, as listed below. Benchmark instances can be loaded with `UnitCommitment.read_benchmark(name)`, as explained in the [tutorials](../tutorials/usage.md). Instance files can also be [directly downloaded from our website](https://axavier.org/UnitCommitment.jl/0.4/instances/).
+
+!!! warning
+
+ The instances included in UC.jl are still under development and may change in the future. If you use these instances in your research, for reproducibility, you should specify what version of UC.jl they came from.
+
+## MATPOWER
+
+[MATPOWER](https://github.com/MATPOWER/matpower) is an open-source package for solving power flow problems in MATLAB and Octave. It contains a number of power flow test cases, which have been widely used in the power systems literature.
+
+Because most MATPOWER test cases were originally designed for power flow studies, they lack a number of important unit commitment parameters, such as time-varying loads, production cost curves, ramp limits, reserves and initial conditions. The test cases included in UnitCommitment.jl are extended versions of the original MATPOWER test cases, modified as following:
+
+- **Production cost** curves were generated using a data-driven approach, based on publicly available data. More specifically, machine learning models were trained to predict typical production cost curves, for each day of the year, based on a generator's maximum and minimum power output.
+
+- **Load profiles** were generated using a similar data-driven approach.
+
+- **Ramp-up, ramp-down, startup and shutdown rates** were set to a fixed proportion of the generator's maximum output.
+
+- **Minimum reserves** were set to a fixed proportion of the total demand.
+
+- **Contingencies** were set to include all N-1 transmission line contingencies that do not generate islands or isolated buses. More specifically, there is one contingency for each transmission line, as long as that transmission line is not a bridge in the network graph.
+
+For each MATPOWER test case, UC.jl provides 365 variations (`2017-01-01` to `2017-12-31`) corresponding different days of the year.
+
+### MATPOWER/UW-PSTCA
+
+A variety of smaller IEEE test cases, [compiled by University of Washington](http://labs.ece.uw.edu/pstca/), corresponding mostly to small portions of the American Electric Power System in the 1960s.
+
+| Name | Buses | Generators | Lines | Contingencies | References |
+| ----------------------------- | ----- | ---------- | ----- | ------------- | -------------- |
+| `matpower/case14/2017-01-01` | 14 | 5 | 20 | 19 | [MTPWR, PSTCA] |
+| `matpower/case30/2017-01-01` | 30 | 6 | 41 | 38 | [MTPWR, PSTCA] |
+| `matpower/case57/2017-01-01` | 57 | 7 | 80 | 79 | [MTPWR, PSTCA] |
+| `matpower/case118/2017-01-01` | 118 | 54 | 186 | 177 | [MTPWR, PSTCA] |
+| `matpower/case300/2017-01-01` | 300 | 69 | 411 | 320 | [MTPWR, PSTCA] |
+
+### MATPOWER/Polish
+
+Test cases based on the Polish 400, 220 and 110 kV networks, originally provided by **Roman Korab** (Politechnika Śląska) and corrected by the MATPOWER team.
+
+| Name | Buses | Generators | Lines | Contingencies | References |
+| --------------------------------- | ----- | ---------- | ----- | ------------- | ---------- |
+| `matpower/case2383wp/2017-01-01` | 2383 | 323 | 2896 | 2240 | [MTPWR] |
+| `matpower/case2736sp/2017-01-01` | 2736 | 289 | 3504 | 3159 | [MTPWR] |
+| `matpower/case2737sop/2017-01-01` | 2737 | 267 | 3506 | 3161 | [MTPWR] |
+| `matpower/case2746wop/2017-01-01` | 2746 | 443 | 3514 | 3155 | [MTPWR] |
+| `matpower/case2746wp/2017-01-01` | 2746 | 457 | 3514 | 3156 | [MTPWR] |
+| `matpower/case3012wp/2017-01-01` | 3012 | 496 | 3572 | 2854 | [MTPWR] |
+| `matpower/case3120sp/2017-01-01` | 3120 | 483 | 3693 | 2950 | [MTPWR] |
+| `matpower/case3375wp/2017-01-01` | 3374 | 590 | 4161 | 3245 | [MTPWR] |
+
+### MATPOWER/PEGASE
+
+Test cases from the [Pan European Grid Advanced Simulation and State Estimation (PEGASE) project](https://cordis.europa.eu/project/id/211407), describing part of the European high voltage transmission network.
+
+| Name | Buses | Generators | Lines | Contingencies | References |
+| ------------------------------------- | ----- | ---------- | ----- | ------------- | --------------------------- |
+| `matpower/case89pegase/2017-01-01` | 89 | 12 | 210 | 192 | [JoFlMa16, FlPaCa13, MTPWR] |
+| `matpower/case1354pegase/2017-01-01` | 1354 | 260 | 1991 | 1288 | [JoFlMa16, FlPaCa13, MTPWR] |
+| `matpower/case2869pegase/2017-01-01` | 2869 | 510 | 4582 | 3579 | [JoFlMa16, FlPaCa13, MTPWR] |
+| `matpower/case9241pegase/2017-01-01` | 9241 | 1445 | 16049 | 13932 | [JoFlMa16, FlPaCa13, MTPWR] |
+| `matpower/case13659pegase/2017-01-01` | 13659 | 4092 | 20467 | 13932 | [JoFlMa16, FlPaCa13, MTPWR] |
+
+### MATPOWER/RTE
+
+Test cases from the R&D Division at [Reseau de Transport d'Electricite](https://www.rte-france.com) representing the size and complexity of the French very high voltage transmission network.
+
+| Name | Buses | Generators | Lines | Contingencies | References |
+| --------------------------------- | ----- | ---------- | ----- | ------------- | ----------------- |
+| `matpower/case1888rte/2017-01-01` | 1888 | 296 | 2531 | 1484 | [MTPWR, JoFlMa16] |
+| `matpower/case1951rte/2017-01-01` | 1951 | 390 | 2596 | 1497 | [MTPWR, JoFlMa16] |
+| `matpower/case2848rte/2017-01-01` | 2848 | 544 | 3776 | 2242 | [MTPWR, JoFlMa16] |
+| `matpower/case2868rte/2017-01-01` | 2868 | 596 | 3808 | 2260 | [MTPWR, JoFlMa16] |
+| `matpower/case6468rte/2017-01-01` | 6468 | 1262 | 9000 | 6094 | [MTPWR, JoFlMa16] |
+| `matpower/case6470rte/2017-01-01` | 6470 | 1306 | 9005 | 6085 | [MTPWR, JoFlMa16] |
+| `matpower/case6495rte/2017-01-01` | 6495 | 1352 | 9019 | 6060 | [MTPWR, JoFlMa16] |
+| `matpower/case6515rte/2017-01-01` | 6515 | 1368 | 9037 | 6063 | [MTPWR, JoFlMa16] |
+
+## PGLIB-UC Instances
+
+[PGLIB-UC](https://github.com/power-grid-lib/pglib-uc) is a benchmark library curated and maintained by the [IEEE PES Task Force on Benchmarks for Validation of Emerging Power System Algorithms](https://power-grid-lib.github.io/). These test cases have been used in [KnOsWa20].
+
+### PGLIB-UC/California
+
+Test cases based on publicly available data from the California ISO. For more details, see [PGLIB-UC case file overview](https://github.com/power-grid-lib/pglib-uc).
+
+| Name | Buses | Generators | Lines | Contingencies | References |
+| ------------------------------------ | ----- | ---------- | ----- | ------------- | ---------- |
+| `pglib-uc/ca/2014-09-01_reserves_0` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2014-09-01_reserves_1` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2014-09-01_reserves_3` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2014-09-01_reserves_5` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2014-12-01_reserves_0` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2014-12-01_reserves_1` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2014-12-01_reserves_3` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2014-12-01_reserves_5` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2015-03-01_reserves_0` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2015-03-01_reserves_1` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2015-03-01_reserves_3` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2015-03-01_reserves_5` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2015-06-01_reserves_0` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2015-06-01_reserves_1` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2015-06-01_reserves_3` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/2015-06-01_reserves_5` | 1 | 610 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/Scenario400_reserves_0` | 1 | 611 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/Scenario400_reserves_1` | 1 | 611 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/Scenario400_reserves_3` | 1 | 611 | 0 | 0 | [KnOsWa20] |
+| `pglib-uc/ca/Scenario400_reserves_5` | 1 | 611 | 0 | 0 | [KnOsWa20] |
+
+### PGLIB-UC/FERC
+
+Test cases based on a publicly available [unit commitment test case produced by the Federal Energy Regulatory Commission](https://www.ferc.gov/industries-data/electric/power-sales-and-markets/increasing-efficiency-through-improved-software-1). For more details, see [PGLIB-UC case file overview](https://github.com/power-grid-lib/pglib-uc).
+
+| Name | Buses | Generators | Lines | Contingencies | References |
+| ----------------------------- | ----- | ---------- | ----- | ------------- | -------------------- |
+| `pglib-uc/ferc/2015-01-01_hw` | 1 | 935 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-01-01_lw` | 1 | 935 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-02-01_hw` | 1 | 935 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-02-01_lw` | 1 | 935 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-03-01_hw` | 1 | 935 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-03-01_lw` | 1 | 935 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-04-01_hw` | 1 | 979 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-04-01_lw` | 1 | 979 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-05-01_hw` | 1 | 979 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-05-01_lw` | 1 | 979 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-06-01_hw` | 1 | 979 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-06-01_lw` | 1 | 979 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-07-01_hw` | 1 | 979 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-07-01_lw` | 1 | 979 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-08-01_hw` | 1 | 979 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-08-01_lw` | 1 | 979 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-09-01_hw` | 1 | 979 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-09-01_lw` | 1 | 979 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-10-01_hw` | 1 | 935 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-10-01_lw` | 1 | 935 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-11-02_hw` | 1 | 935 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-11-02_lw` | 1 | 935 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-12-01_hw` | 1 | 935 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+| `pglib-uc/ferc/2015-12-01_lw` | 1 | 935 | 0 | 0 | [KnOsWa20, KrHiOn12] |
+
+### PGLIB-UC/RTS-GMLC
+
+[RTS-GMLC](https://github.com/GridMod/RTS-GMLC) is an updated version of the RTS-96 test system produced by the United States Department of Energy's [Grid Modernization Laboratory Consortium](https://gmlc.doe.gov/). The PGLIB-UC/RTS-GMLC instances are modified versions of the original RTS-GMLC instances, with modified ramp-rates and without a transmission network. For more details, see [PGLIB-UC case file overview](https://github.com/power-grid-lib/pglib-uc).
+
+| Name | Buses | Generators | Lines | Contingencies | References |
+| ------------------------------ | ----- | ---------- | ----- | ------------- | ---------- |
+| `pglib-uc/rts_gmlc/2020-01-27` | 1 | 154 | 0 | 0 | [BaBlEh19] |
+| `pglib-uc/rts_gmlc/2020-02-09` | 1 | 154 | 0 | 0 | [BaBlEh19] |
+| `pglib-uc/rts_gmlc/2020-03-05` | 1 | 154 | 0 | 0 | [BaBlEh19] |
+| `pglib-uc/rts_gmlc/2020-04-03` | 1 | 154 | 0 | 0 | [BaBlEh19] |
+| `pglib-uc/rts_gmlc/2020-05-05` | 1 | 154 | 0 | 0 | [BaBlEh19] |
+| `pglib-uc/rts_gmlc/2020-06-09` | 1 | 154 | 0 | 0 | [BaBlEh19] |
+| `pglib-uc/rts_gmlc/2020-07-06` | 1 | 154 | 0 | 0 | [BaBlEh19] |
+| `pglib-uc/rts_gmlc/2020-08-12` | 1 | 154 | 0 | 0 | [BaBlEh19] |
+| `pglib-uc/rts_gmlc/2020-09-20` | 1 | 154 | 0 | 0 | [BaBlEh19] |
+| `pglib-uc/rts_gmlc/2020-10-27` | 1 | 154 | 0 | 0 | [BaBlEh19] |
+| `pglib-uc/rts_gmlc/2020-11-25` | 1 | 154 | 0 | 0 | [BaBlEh19] |
+| `pglib-uc/rts_gmlc/2020-12-23` | 1 | 154 | 0 | 0 | [BaBlEh19] |
+
+## OR-LIB/UC
+
+[OR-LIB](http://people.brunel.ac.uk/~mastjjb/jeb/info.html) is a collection of test data sets for a variety of operations research problems, including unit commitment. The UC instances in OR-LIB are synthetic instances generated by a [random problem generator](http://groups.di.unipi.it/optimize/Data/UC.html) developed by the [Operations Research Group at University of Pisa](http://groups.di.unipi.it/optimize/). These test cases have been used in [FrGe06] and many other publications.
+
+| Name | Hours | Buses | Generators | Lines | Contingencies | References |
+| ------------------- | ----- | ----- | ---------- | ----- | ------------- | --------------- |
+| `or-lib/10_0_1_w` | 24 | 1 | 10 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/10_0_2_w` | 24 | 1 | 10 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/10_0_3_w` | 24 | 1 | 10 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/10_0_4_w` | 24 | 1 | 10 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/10_0_5_w` | 24 | 1 | 10 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/20_0_1_w` | 24 | 1 | 20 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/20_0_2_w` | 24 | 1 | 20 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/20_0_3_w` | 24 | 1 | 20 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/20_0_4_w` | 24 | 1 | 20 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/20_0_5_w` | 24 | 1 | 20 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/50_0_1_w` | 24 | 1 | 50 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/50_0_2_w` | 24 | 1 | 50 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/50_0_3_w` | 24 | 1 | 50 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/50_0_4_w` | 24 | 1 | 50 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/50_0_5_w` | 24 | 1 | 50 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/75_0_1_w` | 24 | 1 | 75 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/75_0_2_w` | 24 | 1 | 75 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/75_0_3_w` | 24 | 1 | 75 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/75_0_4_w` | 24 | 1 | 75 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/75_0_5_w` | 24 | 1 | 75 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/100_0_1_w` | 24 | 1 | 100 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/100_0_2_w` | 24 | 1 | 100 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/100_0_3_w` | 24 | 1 | 100 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/100_0_4_w` | 24 | 1 | 100 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/100_0_5_w` | 24 | 1 | 100 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/150_0_1_w` | 24 | 1 | 150 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/150_0_2_w` | 24 | 1 | 150 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/150_0_3_w` | 24 | 1 | 150 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/150_0_4_w` | 24 | 1 | 150 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/150_0_5_w` | 24 | 1 | 150 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/200_0_10_w` | 24 | 1 | 200 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/200_0_11_w` | 24 | 1 | 200 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/200_0_12_w` | 24 | 1 | 200 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/200_0_1_w` | 24 | 1 | 200 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/200_0_2_w` | 24 | 1 | 200 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/200_0_3_w` | 24 | 1 | 200 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/200_0_4_w` | 24 | 1 | 200 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/200_0_5_w` | 24 | 1 | 200 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/200_0_6_w` | 24 | 1 | 200 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/200_0_7_w` | 24 | 1 | 200 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/200_0_8_w` | 24 | 1 | 200 | 0 | 0 | [ORLIB, FrGe06] |
+| `or-lib/200_0_9_w` | 24 | 1 | 200 | 0 | 0 | [ORLIB, FrGe06] |
+
+## Tejada19
+
+Test cases used in [TeLuSa19]. These instances are similar to OR-LIB/UC, in the sense that they use the same random problem generator, but are much larger.
+
+| Name | Hours | Buses | Generators | Lines | Contingencies | References |
+| ----------------------- | ----- | ----- | ---------- | ----- | ------------- | ---------- |
+| `tejada19/UC_24h_214g` | 24 | 1 | 214 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_250g` | 24 | 1 | 250 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_290g` | 24 | 1 | 290 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_480g` | 24 | 1 | 480 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_505g` | 24 | 1 | 505 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_623g` | 24 | 1 | 623 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_647g` | 24 | 1 | 647 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_836g` | 24 | 1 | 836 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_850g` | 24 | 1 | 850 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_918g` | 24 | 1 | 918 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_931g` | 24 | 1 | 931 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_940g` | 24 | 1 | 940 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_957g` | 24 | 1 | 957 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_959g` | 24 | 1 | 959 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_1069g` | 24 | 1 | 1069 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_1130g` | 24 | 1 | 1130 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_1376g` | 24 | 1 | 1376 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_1393g` | 24 | 1 | 1393 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_1577g` | 24 | 1 | 1577 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_1615g` | 24 | 1 | 1615 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_1632g` | 24 | 1 | 1632 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_1768g` | 24 | 1 | 1768 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_1804g` | 24 | 1 | 1804 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_1820g` | 24 | 1 | 1820 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_1823g` | 24 | 1 | 1823 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_24h_1888g` | 24 | 1 | 1888 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_36g` | 168 | 1 | 36 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_38g` | 168 | 1 | 38 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_40g` | 168 | 1 | 40 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_53g` | 168 | 1 | 53 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_58g` | 168 | 1 | 58 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_59g` | 168 | 1 | 59 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_72g` | 168 | 1 | 72 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_84g` | 168 | 1 | 84 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_86g` | 168 | 1 | 86 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_88g` | 168 | 1 | 88 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_93g` | 168 | 1 | 93 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_105g` | 168 | 1 | 105 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_110g` | 168 | 1 | 110 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_125g` | 168 | 1 | 125 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_130g` | 168 | 1 | 130 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_131g` | 168 | 1 | 131 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_140g` | 168 | 1 | 140 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_165g` | 168 | 1 | 165 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_175g` | 168 | 1 | 175 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_179g` | 168 | 1 | 179 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_188g` | 168 | 1 | 188 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_192g` | 168 | 1 | 192 | 0 | 0 | [TeLuSa19] |
+| `tejada19/UC_168h_199g` | 168 | 1 | 199 | 0 | 0 | [TeLuSa19] |
+
+## References
+
+- [UCJL] **Alinson S. Xavier, Aleksandr M. Kazachkov, Ogün Yurdakul, Feng Qiu.** "UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment (Version 0.3)". Zenodo (2022). [DOI: 10.5281/zenodo.4269874](https://doi.org/10.5281/zenodo.4269874)
+
+- [KnOsWa20] **Bernard Knueven, James Ostrowski and Jean-Paul Watson.** "On Mixed-Integer Programming Formulations for the Unit Commitment Problem". INFORMS Journal on Computing (2020). [DOI: 10.1287/ijoc.2019.0944](https://doi.org/10.1287/ijoc.2019.0944)
+
+- [KrHiOn12] **Eric Krall, Michael Higgins and Richard P. O’Neill.** "RTO unit commitment test system." Federal Energy Regulatory Commission. Available at: