Artificial intelligence based forecast models for predicting solar power generation

Carbon discharges from monetary movement proceed to rise and India is the third-biggest emitter among individual nations. The Renewable Energy is the way forward and the problems in harvesting it should surmount through policy and technical approaches. The prime disadvantage with most of the Renewab...

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Bibliographic Details
Published in:Materials today : proceedings 2018, Vol.5 (1), p.796-802
Main Authors: Kumar, K. Ranjith, Kalavathi, M. Surya
Format: Article
Language:English
Subjects:
Adaptive Neuro -Fuzzy Inference System
Artificial Neural Network
Energy
Forecasting
Photovoltaic
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Summary:Carbon discharges from monetary movement proceed to rise and India is the third-biggest emitter among individual nations. The Renewable Energy is the way forward and the problems in harvesting it should surmount through policy and technical approaches. The prime disadvantage with most of the Renewable Energy resources is their susceptibility to the whim and vagaries of nature and becoming a variable random source of power. Predicting the power from these variable power sources define and determine the operation of the system. In this paper, ANN and ANFIS based forecast model for predicting the PV Generation are presented. The designed forecast model is trained using historical data. The results of the proposed model are validated and compared by considering data set of PV power generating station. A simulation model of proposed system is developed in MATLAB to evaluate the system performance.
ISSN:2214-7853
2214-7853
DOI:10.1016/j.matpr.2017.11.149