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This document presents a neurofuzzy model for long-term electrical load forecasting. The neurofuzzy model uses the Locally Linear Model Tree (LoLiMoT) learning algorithm. The performance of this neurofuzzy model is compared to a multilayer perceptron neural network model and a hierarchical hybrid neural network model (HHNM) on load data from a North American electric utility. The inputs to the models do not include temperature data. The neurofuzzy model identified through LoLiMoT learning is found to provid

Author

ahad_amiri66

Language

EN