Long-Term Electricity Demand Prediction Using Non-negative Tensor Factorization and Genetic Algorithm-Driven Temporal Modeling

Toma Masaki, Kanta Tachibana

This study proposes a novel framework for long-term electricity demand prediction based solely on historical consumption data, without relying on external variables such as tempera…