Profiling residential PV output based on weekly weather forecast for home energy management system

T. Niimura, K. Ozawa, D. Yamashita, K. Yoshimi, M. Osawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, the authors present a simple profiling procedure of weekly photovoltaic (PV) generation output for a sustainable energy house based on the historical data of solar irradiance and weather conditions. Weather conditions are classified into simple patterns such as sunny, cloudy, and rainy, and representative hourly profile of PV output is obtained from the most likely values of insolation under each weather condition. The system uses the text weather forecast and the probability of precipitation information as input to obtain the estimated weekly profile of PV output. From the results presented here it is shown that such a simple PV profile can be useful for rating the storage batteries and scheduling electric vehicle charging to better utilize the PV-generated electricity.

Original languageEnglish
Title of host publicationIEEE Power and Energy Society General Meeting
DOIs
Publication statusPublished - 2012
Event2012 IEEE Power and Energy Society General Meeting, PES 2012 - San Diego, CA
Duration: 2012 Jul 222012 Jul 26

Other

Other2012 IEEE Power and Energy Society General Meeting, PES 2012
CitySan Diego, CA
Period12/7/2212/7/26

Keywords

  • clustering
  • probability of precipitation
  • regression
  • solar photovoltaic panel
  • weather patterns

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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  • Cite this

    Niimura, T., Ozawa, K., Yamashita, D., Yoshimi, K., & Osawa, M. (2012). Profiling residential PV output based on weekly weather forecast for home energy management system. In IEEE Power and Energy Society General Meeting [6345020] https://doi.org/10.1109/PESGM.2012.6345020