Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models

@article{Kabir2019EstimationOB,
  title={Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models},
  author={Farzana Kabir and N. Yu and Weixin Yao and R. Yang and Y. Zhang},
  journal={2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)},
  year={2019},
  pages={1-6}
}
  • Farzana Kabir, N. Yu, +2 authors Y. Zhang
  • Published 2019
  • Computer Science
  • 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Accurate estimation of solar photovoltaic (PV) generation is crucial for distribution grid control and optimization. Unfortunately, most of the residential solar PV installations are behind-the-meter. Thus, utilities only have access to the net load readings. This paper presents an unsupervised framework for estimating solar PV generation by disaggregating the net load readings. The proposed framework synergistically combines a physical PV system performance model with a statistical model for… Expand
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