US 12,416,903 B2
AI-based real-time energy management system for peak power management and energy efficiency in logistics centers
Jaeyoung Oh, Seoul (KR); Kyunghoon Jang, Seoul (KR); Gilhwan Cha, Seoul (KR); Jaehong Yoo, Seoul (KR); Jaehyun Yoo, Seoul (KR); and Kyungsu Choi, Seoul (KR)
Assigned to Korea Conformity Laboratories, Seoul (KR); and Algorigo Inc., Seoul (KR)
Filed by Korea Conformity Laboratories, Seoul (KR); and Algorigo Inc., Seoul (KR)
Filed on Dec. 13, 2024, as Appl. No. 18/979,963.
Claims priority of application No. 10-2023-0188955 (KR), filed on Dec. 21, 2023.
Prior Publication US 2025/0208594 A1, Jun. 26, 2025
Int. Cl. G05B 19/042 (2006.01)
CPC G05B 19/042 (2013.01) [G05B 2219/2614 (2013.01); G05B 2219/2639 (2013.01)] 4 Claims
OG exemplary drawing
 
1. An energy management system for peak power management and energy efficiency improvement in a logistics center, comprising:
a data collection server configured to collect data for performing energy management of the logistics center; and
an energy management server configured to;
(i) predict power demand of the logistics center and solar power generation within the logistics center based on the collected data;
(ii) calculate a first accuracy of power demand prediction by comparing the predicted power demand with the collected data;
(iii) cluster time-specific solar radiation by inputting time-specific cloud forecasts included in the collected data into a pre-trained artificial intelligence model;
(iv) calculate a mean squared error (MSE) between the clustered time-specific solar radiation and actual solar radiation;
(v) calculate a second accuracy of the solar power generation prediction based on a comparison of the MSE with a preset reference value;
(vi) determine a second peak power based on an existing first peak power, the first accuracy, the second accuracy, a first constant applied to the first accuracy, and a second constant applied to the second accuracy, wherein a sum of the first and second constants is 1; and
(vii) control at least one of charging and discharging scheduling of an Energy Storage System (ESS) and operation of an air conditioning system within the logistics center based on the second peak power.