December 14, 2022

We are pleased to share research funded by an INTERN supplemental grant from the National Science Foundation to the University of California, Riverside under Grant Number 1711944. This work was done in cooperation with GridBright and the BetterGrids Foundation.

Despite the current trends in data-driven studies of power systems, and in particular renewable energy resources such as Photovoltaics (PVs), having access to real-world PV data still remains a difficult task. The goal of the first phase of the research was to summarize the existing challenges in accessing real-world PV generation data and accordingly, to recommend the potential approaches to synthetically generate the PV generation data from other publicly available databases like meteorological data and also to briefly discuss the pros and cons of the understudy methods. In addition,  the report classifies PV-related data sets that are publicly available.

Researcher Fatemeh Ahmadi-Gorjayi received the B.Sc. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2013, and the M.Sc. degree in MBA, Operation Management and Supply Chain from the department of Industrial Engineering at University of Tehran, Tehran, Iran in 2018. She is currently pursuing her Ph.D. degree at the University of California, Riverside, CA, U.S. Her research interests include state estimation, power system harmonics, power system planning, and applications of data-driven techniques in power system.

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