Invention Grant
- Patent Title: Method for predicting outputs of photovoltaic devices based on two-dimensional fourier analysis and seasonal auto-regression
- Patent Title (中): 基于二维傅里叶分析和季节自动回归预测光伏器件输出的方法
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Application No.: US13434125Application Date: 2012-03-29
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Publication No.: US08942959B2Publication Date: 2015-01-27
- Inventor: Weihong Zhang , Daniel Nikolaev Nikovski
- Applicant: Weihong Zhang , Daniel Nikolaev Nikovski
- Applicant Address: US MA Cambridge
- Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee Address: US MA Cambridge
- Agent Dirk Brinkman; Gene Vinokur
- Main IPC: G06F17/14
- IPC: G06F17/14 ; G01W1/10
Abstract:
An output of a photovoltaic (PV) device is predicted by applying Fourier analysis to historical data to obtain frequencies and a mean of the frequencies in the data. Regression analysis is applied to the data to obtain a regression coefficient. Then, the prediction is a sum of the mean at the time step and a deviation from the mean at a previous time step, wherein the means are represented and approximated by selected frequencies, and the deviation for the previous time step is weighted by the regression coefficient.
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