Solar Irradiation Forecasting Technologies: A Review

  • Anuj Gupta Maharishi Markandeshwar (Deemed to be) University, Mullana-Ambala, India
  • Kapil Gupta Maharishi Markandeshwar (Deemed to be) University, Mullana-Ambala, India
  • Sumit Saroha Guru jamdheshwar University of Science and Technology, Hisar, India
Keywords: Forecasting Techniques, Hybrid Models, Neural Network, Solar Forecasting, Error Metrics, SVM, Markov chain, Numerical Weather Prediction.

Abstract

Renewable energy has received a lot of attention in the previous two decades when it comes to meeting electrical needs in the home, industrial, and agricultural sectors. Solar forecasting is critical for the efficient operation, scheduling, and balancing of energy generation by standalone and grid-connected solar PV systems. A variety of models and methods have been developed in the literature to forecast solar irradiance. This paper provides an analysis of the techniques used in the literature to forecast solar irradiance. The main focus of the study is to investigate the influence of meteorological variables, time horizons, climatic zone, pre-processing technique, optimization & sample size on the complexity and accuracy of the model. Due to their nonlinear complicated problem solving skills, artificial neural network based models outperform other models in the literature. Hybridizing the two models or performing pre-processing on the input data can improve their accuracy even more. It also addresses the various main constituents that influence a model’s accuracy. The paper provides key findings based on studied literature to select the optimal model for a specific site. This paper also discusses the metrics used to measure the efficiency of forecasted model. It has been observed that the proper selection of training and testing period also enhance the accuracy of the model.

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Author Biographies

Anuj Gupta, Maharishi Markandeshwar (Deemed to be) University, Mullana-Ambala, India

Anuj Gupta recieved the B.Tech in Electronics and Communication Engineering from Kurukshetra University, M.Tech in Electronics and Communication Engineering from Kurukshetra University, Kurukshetra. Presently he is Assistant Professor in EEE Deptt. at Asia Pacific Institute of Information Technology, Panipat and pursuing Ph.D. in the area of solar irradiance forecasting from Electronics and Communication Engineering Department, Maharishi Markandeshwar University, Mullana, Ambala, India. His reasearch area are deregulated electricity market, solar irradiance forecasting. He has more than five years teaching and research experience.

Kapil Gupta, Maharishi Markandeshwar (Deemed to be) University, Mullana-Ambala, India

Kapil Gupta received his B.E. (HONS) degree in Electronics & Communication Engineering in 2003 from Rajasthan University and M.E. (HONS) degree in Digital Communication from MBM Engineering College Jodhpur, Rajasthan in 2008. He earned Ph.D. degree in 2013 from MITS University, Rajasthan. Presentlyhe is Associate Professor in the Department of Electronics and Communication Engineering, M.M.E.C, Maharishi Markandeshwar (Deemed to be University) Mullana, Ambala and has more than 15 years of experience in teaching. His research interests are in ……, Wireless Sensor Networks, Wireless Communication, Diversity Techniques and Error Correction Coding.

Sumit Saroha, Guru jamdheshwar University of Science and Technology, Hisar, India

Sumit Saroha is currently working as Assistant Professor in the Department of Electrical Engineering, Guru Jambheshwar University of Science & Technology, Hisar, India. He received Ph.D. in the area of forecasting issues in present day power systems. His research interests are transformer design, electricity markets, electricity forecasting, neural networks, wavelet transform, fractional order systems and Multi agent systems.

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Published
2021-07-09
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