Closing The Gaps In Photovoltaic Forecasting Methods
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About The Author

Prior to joining FSU, Hui Wang was a research faculty as a research scientist and an intermittent lecturer at the University of Michigan. His research has been focused on manufacturing system design, automation, and process control by integrating applied statistics, image processing, optimization, and control theory with engineering knowledge with broad applications including automotive, energy system, semiconductor, and nano-manufacturing. His research has been sponsored by the US National Institute of Standards and Technology and National Science Foundation. His research in recent years has been conducted in close collaboration with a metrology company and U.S. manufacturing industries including Ford Motors and General Motors.

His research has received the best paper awards from ASME-Manufacturing Science and Engineering Conference and International Conference on Frontiers of Design and Manufacturing and featured article recognition of IIE Transactions. He is a member ASME, IIE, and INFORMS.

                       

Closing The Gaps In Photovoltaic Forecasting Methods

A photovoltaic (PV) value is the voltage output generated by solar cells that harvest solar energy to produce electricity. The PV value is a critical performance indicator of solar panels consisting of a plurality of solar cells (Fig. 1a). Appropriate PV forecasting over time can help PV farms/plants efficiently supply the solar energy for power grids, without overestimating or underestimating the capabilities of solar panels, thereby balancing the power demand and supply. The PV forecasting also helps detect abnormal variations/degradation...

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