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What is Data-Driven Electrical Load Forecasting about?

This document presents a novel load forecasting model that integrates the ICEEMDAN algorithm, LS-SVM, and LSTM to enhance forecasting accuracy across short, medium, and long-term periods. The model effectively decomposes historical load data into stationary and non-stationary signals, allowing for improved prediction performance. Simulation results demonstrate that this approach outperforms existing forecasting models using various datasets.

Author

nimishbhattex15

Language

EN