ANALYZING DEVICE

To easily provide information corresponding to a state of electric power demand at facilities.SOLUTION: An analyzing method comprises: a step S1 of acquiring electric power demand data representing electric power demands measured in each of time zones at a plurality of respective facilities; a step...

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Hauptverfasser: YAMAGUCHI MAYU, IWAI YOSHIMASA, ENOHARA FUMIYA, YAMAGUCHI YOHEI, KAMBAYASHI YUKA
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creator YAMAGUCHI MAYU
IWAI YOSHIMASA
ENOHARA FUMIYA
YAMAGUCHI YOHEI
KAMBAYASHI YUKA
description To easily provide information corresponding to a state of electric power demand at facilities.SOLUTION: An analyzing method comprises: a step S1 of acquiring electric power demand data representing electric power demands measured in each of time zones at a plurality of respective facilities; a step S2 of acquiring outside air temperature data representing outside air temperatures in respective areas of the plurality of facilities; a step S3 of extracting, based upon the electric power demand data and outside air temperature data, a first component which does not depend upon activities of persons, a second component which varies with outside air temperature, and a third component which does not vary with outside air temperature from the electric power demands; a step S4 of classifying the plurality of facilities into a plurality of types through clustering using a first variable indicative of a peak of electric power demands, a second variable indicative of a representative value of the first component, a third variable indicative of a representative value of the second component, and one or more fourth variables indicative of characteristics of temporal change of the third component; and a step S5 of providing information corresponding to object types that object facilities belong to.SELECTED DRAWING: Figure 22 【課題】施設の電力需要の状態に応じた情報を簡易に提供する。【解決手段】分析方法は、複数の施設の各々について時間帯毎に計測された電力需要を示す電力需要データを取得するステップS1と、複数の施設の各々の地域の外気温を示す外気温データを取得するステップS2と、電力需要データと外気温データとに基づいて、電力需要から、人の活動に依存しない第1成分と、外気温に応じて変動する第2成分と、外気温に応じて変動しない第3成分とを抽出するステップS3と、電力需要のピークを示す第1変数と、第1成分の代表値を示す第2変数と、第2成分の代表値を示す第3変数と、第3成分の経時変化の特性を表す1以上の第4変数とを用いたクラスタリングを実行することにより、複数の施設を複数の類型に分類するステップS4と、対象施設が属する対象類型に応じた情報を提供するステップS5を備える。【選択図】図22
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a step S2 of acquiring outside air temperature data representing outside air temperatures in respective areas of the plurality of facilities; a step S3 of extracting, based upon the electric power demand data and outside air temperature data, a first component which does not depend upon activities of persons, a second component which varies with outside air temperature, and a third component which does not vary with outside air temperature from the electric power demands; a step S4 of classifying the plurality of facilities into a plurality of types through clustering using a first variable indicative of a peak of electric power demands, a second variable indicative of a representative value of the first component, a third variable indicative of a representative value of the second component, and one or more fourth variables indicative of characteristics of temporal change of the third component; and a step S5 of providing information corresponding to object types that object facilities belong to.SELECTED DRAWING: Figure 22 【課題】施設の電力需要の状態に応じた情報を簡易に提供する。【解決手段】分析方法は、複数の施設の各々について時間帯毎に計測された電力需要を示す電力需要データを取得するステップS1と、複数の施設の各々の地域の外気温を示す外気温データを取得するステップS2と、電力需要データと外気温データとに基づいて、電力需要から、人の活動に依存しない第1成分と、外気温に応じて変動する第2成分と、外気温に応じて変動しない第3成分とを抽出するステップS3と、電力需要のピークを示す第1変数と、第1成分の代表値を示す第2変数と、第2成分の代表値を示す第3変数と、第3成分の経時変化の特性を表す1以上の第4変数とを用いたクラスタリングを実行することにより、複数の施設を複数の類型に分類するステップS4と、対象施設が属する対象類型に応じた情報を提供するステップS5を備える。【選択図】図22</description><language>eng ; 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a step S2 of acquiring outside air temperature data representing outside air temperatures in respective areas of the plurality of facilities; a step S3 of extracting, based upon the electric power demand data and outside air temperature data, a first component which does not depend upon activities of persons, a second component which varies with outside air temperature, and a third component which does not vary with outside air temperature from the electric power demands; a step S4 of classifying the plurality of facilities into a plurality of types through clustering using a first variable indicative of a peak of electric power demands, a second variable indicative of a representative value of the first component, a third variable indicative of a representative value of the second component, and one or more fourth variables indicative of characteristics of temporal change of the third component; and a step S5 of providing information corresponding to object types that object facilities belong to.SELECTED DRAWING: Figure 22 【課題】施設の電力需要の状態に応じた情報を簡易に提供する。【解決手段】分析方法は、複数の施設の各々について時間帯毎に計測された電力需要を示す電力需要データを取得するステップS1と、複数の施設の各々の地域の外気温を示す外気温データを取得するステップS2と、電力需要データと外気温データとに基づいて、電力需要から、人の活動に依存しない第1成分と、外気温に応じて変動する第2成分と、外気温に応じて変動しない第3成分とを抽出するステップS3と、電力需要のピークを示す第1変数と、第1成分の代表値を示す第2変数と、第2成分の代表値を示す第3変数と、第3成分の経時変化の特性を表す1以上の第4変数とを用いたクラスタリングを実行することにより、複数の施設を複数の類型に分類するステップS4と、対象施設が属する対象類型に応じた情報を提供するステップS5を備える。【選択図】図22</abstract><oa>free_for_read</oa></addata></record>
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subjects CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title ANALYZING DEVICE
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