All tested ML models (LSTM, LightGBM, XGBoost, hybrid ARIMA-SVM, GRU) outperformed a univariate ARIMA baseline on Arizona daily load data, with LSTM best at MAPE 1.74%.
Machine Learning Applications in Electric Power Systems: Enhancing Efficiency, Reliability, and Sustainability,
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Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models
All tested ML models (LSTM, LightGBM, XGBoost, hybrid ARIMA-SVM, GRU) outperformed a univariate ARIMA baseline on Arizona daily load data, with LSTM best at MAPE 1.74%.