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Optimizing Grid Load Forecasting with Machine Learning
M. Rahman, A. Chen
A practical study on using gradient-boosted trees and LSTMs to forecast short-term electricity demand, reducing peak-hour error by 18%.
AIEnergyForecastingMachine Learning
calendar_monthNov 12, 2025
via ResearchGate