The increasing costs of fuel and operation of thermal power generating units warrant development of optimization methodologies for economic dispatch (ED) problems. Optimization methodologies that are based on meta-heuristic procedures could assist power generation policy analysts to achieve the...

The objectives of this study are (a) development of optimized regression and ANN (artificial neural network) models for EEC (electrical energy consumption) forecasting based on several optimization methodologies, (b) examination of the effects of different historical data types on accuracy of...

The objective of this study is to present a new method for determination of the optimal bidding strategies among generating companies (GenCo) in the electricity markets using agent-based approach and numerical sensitivity analysis (NSA). While agent-based approach provides for decision making,...

Aside from their zero fuel costs, the pumped-storage units can reduce emissions of thermal generating units. The objective of this study is to investigate (a) thermal unit commitment with considerations for environmental constraints (ECUC), and (b) pumped-storage and thermal unit commitment with...

The objectives of this study are to (i) develop a reference energy system and forecast of energy consumption (EC) for a 25 year period (2011–2035) for Iran and (ii) examine the effects of several demand and supply side management strategies on resource depletion and environmental emissions....

Energy-environmental planning for transportation sector requires extensive data for energy carriers types, production, and consumption as well as vehicle technologies. However, in developing countries, where private transportation sector is growing at an enormous rate and energy-environmental...