Systems and methods for microgrid power generation and management
US-9225173-B2 · Dec 29, 2015 · US
Method for predicting outputs of photovoltaic devices based on two-dimensional fourier analysis and seasonal auto-regression
US8942959B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8942959-B2 |
| Application number | US-201213434125-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 29, 2012 |
| Priority date | Mar 29, 2012 |
| Publication date | Jan 27, 2015 |
| Grant date | Jan 27, 2015 |
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Abstract
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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.
First claim
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We claim: 1. A method for predicting an output of a photovoltaic (PV) device, comprising the steps of: aligning data in two dimensions according to days in a year, and hours in a day; applying a two-dimensional Fourier analysis to the data to obtain frequencies and a mean of the frequencies in the data, wherein the data are time series of a historical outputs of the PV device; applying regression analysis to the data to obtain a regression coefficient; and predicting the PV…
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- H02J3/004Primary
Electricity · mapped topic
Electricity · mapped topic
Electricity · mapped topic
Electricity · mapped topic
Physics · mapped topic
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- What does patent US8942959B2 cover?
- 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 …
- Who is the assignee on this patent?
- Zhang Weihong, Nikovski Daniel Nikolaev, Mitsubishi Electric Res Lab
- What technology area does this patent fall under?
- Primary CPC classification H02J3/004. Mapped technology areas include Electricity.
- When was this patent published?
- Publication date Tue Jan 27 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).