Hybrid Intelligent Technologies in Energy Demand Forecasting

The book "Hybrid Intelligent Technologies in Energy Demand Forecasting" is aimed at researchers and postgraduates interested in developing highly accurate models for predicting energy demand. It seeks to surpass traditional models through the hybridization of intelligent technologies. This specialized book covers various advanced concepts, including meta-heuristic algorithms, chaotic mapping mechanisms, quantum computing mechanisms, and recursive mechanisms. Additionally, it explains the theory of phase space reconstruction and recurrence plots. The book provides numerous illustrations that demonstrate how these intelligent technologies can be combined with traditional forecasting models to overcome their limitations.