PREDICTION DEVICE, PREDICTION METHOD, AND PROGRAM

Title:

PREDICTION DEVICE, PREDICTION METHOD, AND PROGRAM

Document Type and Number:

WIPO Patent Application WO/2016/121202

Kind Code:

A1

Abstract:

The present invention addresses the problem of enhancing the prediction accuracy of the prediction of a natural energy power generation amount, amount of solar radiation, or wind speed using a statistical method using machine learning. To address this problem, a prediction device (10) is provided that has a feature value extraction unit (13) for extracting a feature value that is the fluctuation of a time series from meteorological data from m (where m is at least 2) hours before a target time to the target time and an estimation unit (first estimation unit (14)) for estimating the natural energy power generation amount, amount of solar radiation, or wind speed at the target time on the basis of the feature values for a plurality of days.

Inventors:

SUZUKI KATSUYA (JP)
HOMMA KOSUKE (JP)
KUDO KOJI (JP)

Application Number:

PCT/JP2015/082353

Publication Date:

August 04, 2016

Filing Date:

November 18, 2015

Export Citation:

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Assignee:

NEC CORP (JP)

International Classes:

G01W1/10; G06F19/00; G06N20/00; H02J3/00

Foreign References:

JP2007056686A	2007-03-08
JP2006033908A	2006-02-02
JP2003108909A	2003-04-11