Abstract

Switching regression is a powerful tool for revealing intrinsic non-linear dependencies among exploratory variables and objective variables. Fuzzy c-Regression Models (FCRM) is an FCM-type switching regression algorithm, which iteratively estimate fuzzy memberships of objects and local regression functions. In this paper, FCRM is applied to a residential solar electric power analysis. Although solar electric power is severely influenced by sunshine duration, meteorological observation of actual sunshine duration is often underestimated from the actual quantity of solar radiation. So, the variable has direction-dependent uncertainty. In this paper, FCRM is modified for handling such uncertain observations and the applicability is demonstrated with several experimental results.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.