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Patent Searching and Data


Title:
DEMAND PREDICTION METHOD, DEMAND CONTROL METHOD, AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2019/169706
Kind Code:
A1
Abstract:
The present application provides a demand prediction method, demand control method, and system. The demand prediction method comprises: obtaining electricity consumption-related information in an electricity consumption cycle, wherein the electricity consumption-related information comprises an electricity consumption plan; on the basis of respective predetermined correspondences between electricity consumption and operating status for a plurality of electricity consumption systems, predicting timing information of expected total electricity consumption for each of the electricity consumption systems when each of the electricity consumption systems implements the electricity consumption plan as limited by the electricity consumption-related information; and on the basis of the timing information of the expected total electricity consumption, determining an expected electricity demand in the electricity consumption cycle. The demand prediction method provided by the present application utilizes electricity consumption-related information in an electricity consumption cycle to predict expected electricity demand more accurately, providing a business with a more reasonable electricity consumption plan.

Inventors:
CHEN GUANGHAO (CN)
SU MING (CN)
WANG CHUNGUANG (CN)
Application Number:
PCT/CN2018/084249
Publication Date:
September 12, 2019
Filing Date:
April 24, 2018
Export Citation:
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Assignee:
EQUOTA ENERGY TECH SHANGHAI CO LTD (CN)
International Classes:
G05B19/418; G06Q10/04; G06Q50/06
Foreign References:
CN106651200A2017-05-10
CN104714501A2015-06-17
CN1874105A2006-12-06
CN105137756A2015-12-09
US20170017215A12017-01-19
US20170364839A12017-12-21
Other References:
QIAN, FENG ET AL.: "Large Enterprises' Daily Electricity Consumption Forecasting Method Based on Structure Information of Problems", METALLURGICAL POWER, 6 January 2009 (2009-01-06), pages 1 - 4, ISSN: 1006-6764
Attorney, Agent or Firm:
SHANGHAI DIANSHI PARTNERS, P.C. (CN)
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