Author:
Dias Fedora,Naik Anant J.
Abstract
Renewable energy plays a vital role in energy management and hence resultant sus-tainable development. The uncertainty of its availability is the point of concern. Hence the optimal usage and prediction of its availability become very critical. Several methods of wind energy forecasting at any given location are available in the literature. In this article, a machine learning-based wind energy forecasting method is suggested. The wind data and related parameters at Satara district of Maharashtra state in India are obtained. ANN (Artificial Neural Network) model is developed, trained, tested, and validated for the available data. The results obtained for future wind energy predicted approximately match the actual values.
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