Abstract
An energy crisis is a major problem India is facing today. Alternative energy sources are very important today to overcome the impact of rising oil prices. The main alternative energy source is the power from wind energy sources having 10% in India’s total energy consumption. The wind farm location planning to achieve the best energy output generation is in need of a finding solution. In this article, together with the belief network, a challenge is made exactly to prospects the energy from wind resources with and applied a statistical approach. Soft Computing techniques play a major role in the research applications especially in the multi-disciplinary areas. According to the technological development various soft computing techniques can be used in many areas to analyze the problem including Artificial Neural Network, Fuzzy logic, Adaptive Neuro and machine language. In this study the potential location of wind energy is identified by the belief neural network technique. The basic concept of Bayesian uncertainty treatment is that this analysis analyzes the conditional probability of occurrence. In addition, a particular region’s ecological parameters and environmental issues are also important. The ecological parameters and environmental factors also involved in the wind velocity of a particular region.
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