Abstract
Wind energy is an ecologically benign and sustainable form of energy although owing to the fact that power generated is reliant on wind speed, it is arbitrary and random. India currently has the ability to produce 25,088 MW of wind power, also aiming to increase it to 60 GW by 2022. As India seeks to digitize itself, it wants to integrate technology like Artificial Intelligence in its power grid to efficiently generate renewable energy. This study attempts to review the models used in wind speed forecasting (WSF) that have been examined in India and which have utilized Artificial Intelligence (AI) and Machine Learning (ML) and to compare their normalized Root Mean Square Errors. These models are also categorized into four categories: ultra-short-term, short-term, medium-term, and long-term since the purpose of all four categories is different.
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Deepta, E., Juyal, N., Sharma, S. (2022). Wind Speed Prediction in the Region of India Using Artificial Intelligence. In: Unhelker, B., Pandey, H.M., Raj, G. (eds) Applications of Artificial Intelligence and Machine Learning. Lecture Notes in Electrical Engineering, vol 925. Springer, Singapore. https://doi.org/10.1007/978-981-19-4831-2_59
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DOI: https://doi.org/10.1007/978-981-19-4831-2_59
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