By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Niimura, T. ; Fac. of Econ., Hosei Univ., Tokyo, Japan ; Ozawa, K. ; Yamashita, D. ; Yoshimi, K.
more authors

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.

Published in:

Power and Energy Society General Meeting, 2012 IEEE

Date of Conference:

22-26 July 2012