Abstract
The Moroccan electricity sector is undergoing rapid transformation as it seeks to increase its utilization of renewable energy from its abundant domestic supply. Key to implementing variable renewable energy is understanding current electricity demand and forecasting this demand on the long, medium, and short timescales. This report leverages existing Moroccan electricity sector data to build basic load forecasts on these timescales. Taking these forecasts, the report recommends next steps in terms of additional algorithms, mathematical models, data collection, and scenarios (such as vehicle electrification or high levels of distributed generation) that should be examined for advanced load forecasts.
Original language | American English |
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Number of pages | 77 |
DOIs | |
State | Published - 2021 |
NREL Publication Number
- NREL/TP-5R00-77427
Keywords
- data scarce
- load forecasting
- Morocco