Invention Grant
- Patent Title: Combining multiple trending models for photovoltaics plant output forecasting
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Application No.: US15301481Application Date: 2014-04-14
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Publication No.: US10540422B2Publication Date: 2020-01-21
- Inventor: Chao Yuan , Amit Chakraborty , Eberhard Ritzhaupt-Kleissl , Holger Hackstein
- Applicant: Siemens Aktiengesellschaft
- Applicant Address: DE Munich
- Assignee: Siemens Aktiengesellschaft
- Current Assignee: Siemens Aktiengesellschaft
- Current Assignee Address: DE Munich
- International Application: PCT/US2014/032986 WO 20140414
- International Announcement: WO2015/152941 WO 20151008
- Main IPC: G06F17/18
- IPC: G06F17/18 ; G06N20/00 ; G06Q10/04 ; G06Q50/06

Abstract:
A method of predicting an amount of power that will be generated by a solar power plant at a future time includes: forecasting a value of a data variable at the future time that is likely to affect the ability of the solar power plant to produce electricity (S301); computing a plurality of features from prior observed amounts of power generated by the power plant during different previous durations (S302); determining a trending model from the computed features and the forecasted value (S303); and predicting the amount of power that will be generated by the power plant at the future time from the determined model (S304).
Public/Granted literature
- US20170031867A1 Combining Multiple Trending Models for Photovoltaics Plant Output Forecasting Public/Granted day:2017-02-02
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