A Survey on Solar Energy Prediction using AI based Techniques

Shalinee kanungo, Prof.Lavkesh patidar


Artificial Intelligence termed as the coined term AI is being used in several applications; wherein the data complexity is high of the size is non-trivially high. This paper presents a survey on AI allied techniques for solar irradiation prediction problems where the challenges mentioned for the basic AI problems to encounter have to pertain keeping in mind the size and the complexity of the data. The various ANN based structures with the relevant challenges gave been cited. The mathematical computation of the error descent for neural architectures has also been provided. It is expected that this survey would pave a path for future researchers in designing their research around the framework of ANN design.

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