AI-based smart energy gateway intelligent scheduling and optimization control system

• Main Authors: WU SHAOMIN, XIONG JIANBIN, LI BAOPING, LI SHAOXIONG, FU GUANGFENG, GUO HAITAO
• Format: Patent
• Language: Chinese; English
• Published: 28.03.2025
• Subjects: CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PHYSICS; REGULATING

The invention discloses a smart energy gateway intelligent scheduling and optimization control system based on AI. The system comprises an energy access chip, a data processing chip, an AI decision chip and a control execution chip. The energy access chip collects and uniformly converts equipment operation data of different protocols, and the data processing chip carries out differential processing and abnormity detection; the AI decision-making piece adopts a time sequence convolutional network TCN to carry out load prediction and uses a deep reinforcement learning network DQN to calculate an optimal power distribution scheme; and the control execution sheet is responsible for executing the control instruction and monitoring the state. The technical problems of a traditional energy gateway in the aspects of multi-protocol equipment access, data processing, intelligent decision optimization and the like are solved, the load change is predicted through adaptive learning, power distribution is optimized based o