Scholars in the University of Macau (UM) State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC) won the Best Paper Award of the 6th IEEE Conference on Energy Internet and Energy Systems Integration (IEEE EI² 2022). The authors are Ph.D student Zhenyi Wang and Assistant Professor Hongcai Zhang. . The paper proposes a baseline load estimation method based on generative adversarial networks, which can guarantee the interests of both sides of the electricity market and promote the normal operation of the demand response, thus improving the flexibility and stability of the power system.
The 6th IEEE Conference on Energy Internet of Things and Energy Systems Integration (IEEE EI² 2022) was held in November 11-13 in Chengdu, with the theme of “Energy Internet and New Power System”. It is co-sponsored by IEEE Power & Energy Society (IEEE PES), Chinese Society for Electrical Engineering (CSEE), University of Electronic Science and Technology of China, Chengdu University of Technology, Tsinghua University, Taiyuan University of Technology, and Southwest University of Science and Technology. The IEEE EI² is a hybrid event, which promotes the interconnection, opening, sharing, and coordination of various energy sources to shape a green, low-carbon, efficient, low-cost, and environmentally friendly ecological environment It covers wide range of research areas from cloud computing, the Internet of Things (IoT), artificial intelligence (AI), blockchain, and 5G communication.
The SKL-IOTSC Smart Energy Group is dedicated to studying opportunities and challenges brought by clean energy, controllable loads, energy coupling, and cyber-physical systems. Members of the group carry out cutting-edge research based on the internet of things, with the aim of promoting the development of clean, low-carbon, efficient, and safe smart energy systems. The research is supported by the Science and Technology Development Fund, Macao SAR (file number: SKL-IOTSC(UM)-2021-2023, 0137/2019/A3).
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Award Certificate