Title:
POWER MANAGEMENT DEVICE AND METHOD USING PREDICTED POWER PEAK GUIDELINE
Document Type and Number:
WIPO Patent Application WO/2023/018226
Kind Code:
A1
Abstract:
The present invention relates to a power management device and method using a predicted power peak guideline, which can reduce electricity bills. The power management method using a predicted power peak guideline according to the present embodiment is a power management method performed by a processor of a power management device, and may comprise the steps of: generating time-series power usage data by using sensor data collected from an IoT sensor provided at a power consumption subject; generating predicted future power usage data by applying the time-series power usage data to a coefficient-fitted Fourier series; determining, using a power upper limit value prediction model for determining a predicted power upper limit value by using predicted power usage data as an input, a predicted power upper limit value from the predicted power usage data, and generating a predicted power peak guideline; and generating an alert for an excess of electricity bills on the basis of the distance between the time-series power usage data and the predicted power peak guideline.
Inventors:
YOON JAE MIN (KR)
OH HYUNG AN (KR)
KANG SHIN PYUNG (KR)
GO KWANG YOUNG (KR)
LEE WON WOO (KR)
OH HYUNG AN (KR)
KANG SHIN PYUNG (KR)
GO KWANG YOUNG (KR)
LEE WON WOO (KR)
Application Number:
PCT/KR2022/011933
Publication Date:
February 16, 2023
Filing Date:
August 10, 2022
Export Citation:
Assignee:
PLUXITY CO LTD (KR)
International Classes:
G06Q50/06; G01R22/06; G06N3/08; G06Q10/04; G06Q30/02; G08B21/18; H02J3/00
Foreign References:
| KR20030003233A | 2003-01-09 | |||
| KR20160047990A | 2016-05-03 | |||
| KR101941003B1 | 2019-04-12 | |||
| KR20200128232A | 2020-11-12 |
Other References:
AHN, YUSUN; LEE, YONG-JUN; OH, EUN; KIM, BYUNGSEON: "Building Energy Demand Prediction Model using Fourier Transform based Schedule Analysis Algorithm", KOREAN JOURNAL OF AIR-CONDITIONING AND REFRIGERATION ENGINEERING, vol. 32, no. 8, pages 386 - 397, XP009543542, ISSN: 1229-6422, Retrieved from the Internet [retrieved on 20221101], DOI: 10.6110/KJACR.2020.32.8.386
Attorney, Agent or Firm:
THEWAVE IP LAW FIRM (KR)
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