In recent years, extensive researches have been conducted on implementation of demand response programs (DRPs), aimed to electricity price reduction, transmission lines congestion resolving, security enhancement and improvement of market liquidity. Basically, DRPs are divided into two main...

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...

In addition to economics, reliability and environmental emissions are of great importance for designing a power generation system. The objective of this study is to optimally design an autonomous and non-autonomous hybrid green power system (HGPS) to supply a specific load demand with...

Rural areas in Iran are necessarily linked to agriculture with very little diversification. These communities are solely dependent upon the fortunes of one or two primary enterprises. This is an extremely tenuous situation and these communities must diversify to insure economic and social...

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,...