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2 changes: 1 addition & 1 deletion Notebooks/02-Anatomy-of-a-Model.ipynb
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Expand Up @@ -1538,7 +1538,7 @@
"\n",
"Before we get started defining our model, we need to load some useful data and define a set of **parameters** or constant values used in our optimization problem.\n",
"\n",
"For purposes of this example, we will use **time series data** for a single day of 15-minute [real-time electricity market prices](http://mis.ercot.com/misapp/GetReports.do?reportTypeId=13061&reportTitle=Historical%20RTM%20Load%20Zone%20and%20Hub%20Prices&showHTMLView=&mimicKey) from the Western Hub of the Electricity Reliability Council of Texas (ERCOT) electricity market, along with simulated solar PV output from [Renewables.Ninja](https://www.renewables.ninja/), which we'll load in from a .csv file with help from Julia's [CSV](https://juliadata.github.io/CSV.jl/stable/) and [DataFrames](https://juliadata.github.io/DataFrames.jl/stable/) packages."
"For purposes of this example, we will use **time series data** for a single day of 15-minute [real-time electricity market prices](http://mis.ercot.com/misapp/GetReports.do?reportTypeId=13061&reportTitle=Historical%20RTM%20Load%20Zone%20and%20Hub%20Prices&showHTMLView=&mimicKey) from the Western Hub of the Electricity Reliability Council of Texas (ERCOT) electricity market, along with simulated solar PV output from [Renewables.Ninja](https://www.renewables.ninja/), which we'll load in from a .csv file with help from Julia's [CSV](https://juliadata.github.io/CSV.jl/stable/) and [DataFrames](https://juliadata.github.io/DataFrames.jl/stable/) packages. A copy of the dataset is available [here](https://github.com/Power-Systems-Optimization-Course/power-systems-optimization/blob/master/Notebooks/anatomy_data/solar_battery_data.csv)."
]
},
{
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