Renewable Energy and Electricity Demand Time Series Dataset with Exogenous Variables at 5-minute Interval
Published: 26 April 2023| Version 1 | DOI: 10.17632/fdfftr3tc2.1
Contributors:
, , , Description
The described database was created using data obtained from the California Independent System Operator (CAISO) and the National Renewable Energy Laboratory (NREL). All data was collected at five-minute intervals, and subsequently cleaned and modified to create a database comprising three time series: solar energy production, wind energy production, and electricity demand. The database contains 12 columns, including date, station (1: Winter, 2: Spring, 3: Summer, 4: Autumn), day of the week (0: Monday, ... , 6: Sunday), DHI (W/m2), DNI (W/m2), GHI (W/m2), wind speed (m/s), humidity (%), temperature (degrees), solar energy production (MW), wind energy production (MW), and electricity demand (MW).
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Institutions
Universidad Francisco de Paula Santander, University of Delaware
Categories
Forecasting, Time Series, Renewable Energy, Demand Forecasting