Abstract
In this chapter, various challenges, solutions, and applications are discussed to introduce the use of renewable energy in our current life. As artificial intelligence (AI) is not a stand-alone topic, it consists of many subdomains such as machine learning, deep learning, artificial neural network, fuzzy logic, and adaptive neuro-fuzzy inference system. All these subdomains are also discussed in this chapter. Various intelligent techniques of AI and ML and their use cases are discussed in this chapter. AI helps us to predict many features in the field of renewable energy. Machine learning models such as decision tree, clustering, and exploratory data analysis are discussed for prediction of renewable energy and usage. Applications of those techniques on benchmark data are discussed and the results are presented in this chapter.
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