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Forecasting of Energy Price for Industrial Consumption Using Intelligent Algorithms
, M.Sc. Thesis Sharif University of Technology ; Akhavan Niaki, Mohammas Taghi (Supervisor)
Abstract
Forecasting of energy price and consumption is essential in making managerial decisions and plans effectively and efficiently. It is a valuable technique in economic and/or engineering decisions. While there are many sophisticated mathematical methods developed so far to forecast prices and consumption, nature-based intelligent algorithms have been developed recently. Generally, high accuracy, quick responding, and ability to solve complicated models that are some desired characteristics of artificial intelligence algorithms help decision-makers to come up with good solutions to their problems. The main objective of this research is short term forecasting the energy price and consumption in...