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Energies 2018, 11(4), 819; https://doi.org/10.3390/en11040819

A Green Energy Application in Energy Management Systems by an Artificial Intelligence-Based Solar Radiation Forecasting Model

1
Computer and Intelligent Robot Program for Bachelor Degree, National Pingtung University, No.4-18, Minsheng Rd., Pingtung City, Pingtung County 90003, Taiwan
2
School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, No.86, Hongqi Rd., Zhanggong District, Ganzhou 341000, China
*
Author to whom correspondence should be addressed.
Received: 23 March 2018 / Revised: 29 March 2018 / Accepted: 30 March 2018 / Published: 2 April 2018
(This article belongs to the Special Issue Energy Economy, Sustainable Energy and Energy Saving)
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Abstract

The photovoltaic (PV) systems generate green energy from the sunlight without any pollution or noise. The PV systems are simple, convenient to install, and seldom malfunction. Unfortunately, the energy generated by PV systems depends on climatic conditions, location, and system design. The solar radiation forecasting is important to the smooth operation of PV systems. However, solar radiation detected by a pyranometer sensor is strongly nonlinear and highly unstable. The PV energy generation makes a considerable contribution to the smart grids via a large number of relatively small PV systems. In this paper, a high-precision deep convolutional neural network model (SolarNet) is proposed to facilitate the solar radiation forecasting. The proposed model is verified by experiments. The experimental results demonstrate that SolarNet outperforms other benchmark models in forecasting accuracy as well as in predicting complex time series with a high degree of volatility and irregularity. View Full-Text
Keywords: green energy; energy technology; artificial intelligence; solar energy; solar radiation; forecasting; deep convolutional neural networks green energy; energy technology; artificial intelligence; solar energy; solar radiation; forecasting; deep convolutional neural networks
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Kuo, P.-H.; Huang, C.-J. A Green Energy Application in Energy Management Systems by an Artificial Intelligence-Based Solar Radiation Forecasting Model. Energies 2018, 11, 819.

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