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What is Electrical Load Forecasting Review about?

This systematic review evaluates various electricity load forecasting models to determine their effectiveness for different scenarios. It analyzes 113 case studies from 41 academic papers, highlighting that regression models are preferred for long-term predictions while machine learning algorithms are favored for short-term forecasts. The paper also establishes a taxonomy for selecting appropriate forecasting models based on specific characteristics and criteria.

Author

edito.munarriz.e

Language

EN