Abstract
Demand side management is emerging as a potential solution for optimal power generation in a renewable fed power structure. In the optimal state, maximum electrical energy from renewable sources is utilized and rest of the load is supplied by conventional sources. This results in higher generation of clean and pollution free electrical energy. Under varying load condition, when peak load condition appears, a voluntary support from demand side is always helpful in ensuring optimal power generation. This is called demand side management. For demand side management, prediction of energy availability from all sources and load forecasting in a certain interval of time is required. Normally, energy availability from conventional sources is known in advance. However, energy from renewable sources is highly unpredictable in nature. This paper presents a predictive model for prediction of electrical energy from solar and wind sources at a particular location. Information obtained from this model can be used for demand side management.
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