JP7443355B2 - 需要予測装置 - Google Patents
需要予測装置 Download PDFInfo
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- JP7443355B2 JP7443355B2 JP2021519413A JP2021519413A JP7443355B2 JP 7443355 B2 JP7443355 B2 JP 7443355B2 JP 2021519413 A JP2021519413 A JP 2021519413A JP 2021519413 A JP2021519413 A JP 2021519413A JP 7443355 B2 JP7443355 B2 JP 7443355B2
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- 238000000034 method Methods 0.000 description 18
- 238000010586 diagram Methods 0.000 description 15
- 238000012549 training Methods 0.000 description 13
- 238000004891 communication Methods 0.000 description 11
- 230000008569 process Effects 0.000 description 8
- 230000006870 function Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 6
- 230000005540 biological transmission Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- 238000007796 conventional method Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 230000000737 periodic effect Effects 0.000 description 3
- 238000007726 management method Methods 0.000 description 2
- 238000010295 mobile communication Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000001960 triggered effect Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000013277 forecasting method Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000006249 magnetic particle Substances 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- Strategic Management (AREA)
- Development Economics (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Human Resources & Organizations (AREA)
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Description
y=((w1y++(1-w1)y-)+(w2y-+(1-w2)y+))/2
ここで、y+及びy-は以下の式に基づく。
y+=max(y1,y2)
y-=min(y1,y2)
Claims (6)
- 複数の需要予測モデルであって、予測モデルである各需要予測モデルが、需要に関する状態であり各需要予測モデルで異なる需要状態における需要を予測する、複数の需要予測モデルと、指定されたタイミングが各需要状態に当てはまる度合である状態度合を予測する予測モデルである状態予測モデルとを格納する格納部と、
前記格納部によって格納された複数の需要予測モデルそれぞれが予測する需要と、前記格納部によって格納された状態予測モデルが予測する状態度合とに基づいて需要を予測する予測部と、
を備え、
前記予測部は、指定されたタイミングに対して複数の需要予測モデルそれぞれが予測する需要と、当該タイミングに対して状態予測モデルが予測する状態度合とに基づいて需要を予測する、
需要予測装置。 - 状態予測モデルは、需要の確率分布であって複数の需要予測モデルそれぞれが予測する需要に基づく需要分布に基づいて生成される予測モデルである、
請求項1に記載の需要予測装置。 - 状態予測モデルは、複数の需要予測モデルそれぞれが予測する需要の、需要分布における位置に基づいて生成される予測モデルである、
請求項2に記載の需要予測装置。 - 状態予測モデルを生成する生成部をさらに備え、
前記格納部は、前記生成部によって生成された状態予測モデルを格納する、
請求項1~3の何れか一項に記載の需要予測装置。 - 前記予測部は、複数の需要予測モデルそれぞれが予測する需要に対して、状態予測モデルが予測する状態度合を重み付けすることで需要を予測する、
請求項1~4の何れか一項に記載の需要予測装置。 - 複数の需要予測モデルは、需要が定常状態における需要を予測する予測モデルと、需要が特異状態における需要を予測する予測モデルとの少なくとも一方を含む、
請求項1~5の何れか一項に記載の需要予測装置。
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2019090439 | 2019-05-13 | ||
JP2019090439 | 2019-05-13 | ||
PCT/JP2020/018721 WO2020230735A1 (ja) | 2019-05-13 | 2020-05-08 | 需要予測装置 |
Publications (2)
Publication Number | Publication Date |
---|---|
JPWO2020230735A1 JPWO2020230735A1 (ja) | 2020-11-19 |
JP7443355B2 true JP7443355B2 (ja) | 2024-03-05 |
Family
ID=73290173
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2021519413A Active JP7443355B2 (ja) | 2019-05-13 | 2020-05-08 | 需要予測装置 |
Country Status (3)
Country | Link |
---|---|
US (1) | US20220215411A1 (ja) |
JP (1) | JP7443355B2 (ja) |
WO (1) | WO2020230735A1 (ja) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017163278A1 (ja) | 2016-03-25 | 2017-09-28 | 日本電気株式会社 | 商品需要予測システム、商品需要予測方法および商品需要予測プログラム |
WO2018079367A1 (ja) | 2016-10-31 | 2018-05-03 | 日本電気株式会社 | 商品需要予測システム、商品需要予測方法および商品需要予測プログラム |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7457766B1 (en) * | 2003-11-06 | 2008-11-25 | Teradata Us, Inc. | Methods and systems for determining daily weighting factors for use in forecasting daily product sales |
JPWO2016088370A1 (ja) * | 2014-12-05 | 2017-09-14 | 日本電気株式会社 | 情報処理装置、モデル構築方法及びプログラム記録媒体 |
US10636293B2 (en) * | 2017-06-07 | 2020-04-28 | International Business Machines Corporation | Uncertainty modeling in traffic demand prediction |
-
2020
- 2020-05-08 WO PCT/JP2020/018721 patent/WO2020230735A1/ja active Application Filing
- 2020-05-08 US US17/609,864 patent/US20220215411A1/en not_active Abandoned
- 2020-05-08 JP JP2021519413A patent/JP7443355B2/ja active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017163278A1 (ja) | 2016-03-25 | 2017-09-28 | 日本電気株式会社 | 商品需要予測システム、商品需要予測方法および商品需要予測プログラム |
WO2018079367A1 (ja) | 2016-10-31 | 2018-05-03 | 日本電気株式会社 | 商品需要予測システム、商品需要予測方法および商品需要予測プログラム |
Also Published As
Publication number | Publication date |
---|---|
WO2020230735A1 (ja) | 2020-11-19 |
US20220215411A1 (en) | 2022-07-07 |
JPWO2020230735A1 (ja) | 2020-11-19 |
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