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Department of Electrical Engineering and Automation

Multi-energy System Planning and Operation

Multi-energy System Planning and Operation leads pioneering research focused on advancing carbon neutrality and energy intelligence goals
An illustration showing different ways of producing energy, and different means of transport .

Multi-energy System Planning and Operation (MESPO) group: , established at Aalto University in 2023, leads pioneering research focused on advancing carbon neutrality and energy intelligence goals. The planning and operation of multi-energy systems (MES) such as (industrial, commercial, Agri-cultural) microgrids, ships & seaports, buildings, flights & airports, etc., involves the coordination of diverse energy forms, including electricity, heat, and gas, green hydrogen, water, transportation, etc. MES aims to optimize energy production, storage, and consumption to ensure efficiency, resilience, and sustainability. These systems often incorporate renewable energy sources like solar, wind, tidal energy, biomass, etc., as well as advanced storage technologies, to meet the growing demand for clean and reliable energy. Further, in recent years, AI development has accelerated rapidly, driven by advancements in computational power, data availability, and algorithmic innovation. Machine learning techniques, particularly DRL and large language model, are being employed in complex environments to handle uncertainty, automate control processes, and improve system reliability. 

Key research topics include:

  1. Multi-Energy Coordination: Optimal operation of MES, i.e., microgrids, ships & seaports, virtual power plants (VPPs), flight & airports, buildings, etc., with power, heat/cooling, water, transportation and hydrogen networks, power to X techniques, and demand response. 
  2. AI + Energy: Online data-driven (AI) prediction and operation with machine learning methods such as deep reinforcement learning, large language model, transfer learning, federate learning, etc.
  3. Uncertainty Management: Tackling uncertainties from renewables, prices, outdoor temperature, etc., via methods such as robust or stochastic programming methods.
  4. Resilience Enhancement: Improve the system's ability to withstand and recover from natural disasters or supply interruptions by implementing robust and adaptive strategies such as reconfiguration.
  5. Market mechanism: achieve effective energy trading with game theory methods.
Illustration telling about different types of energy production methods, and means of transport.

The MESPO group is led by Assistant Professor Zhengmao Li.

Group members

Latest publications

Xianhui Gao, Junyi Zhai, Gaoyang Hou, Zhengmao Li, Sheng Wang, Jianxiao Wang 2026 Fuel

Longwen Chang, Zening Li, Xingtao Tian, Jia Su, Xinyue Chang, Yixun Xue, Zhengmao Li, Xiaolong Jin, Peng Wang, Hongbin Sun 2025 Applied Energy

Bing Ding, Zening Li, Zhengmao Li, Yixun Xue, Xinyue Chang, Jia Su, Hongbin Sun 2025 IEEE Transactions on Industrial Informatics

Zhineng Fei, Yunyang Zou, Weiqi Hua, Osiris Valdez Banda, Josep M. Guerrero, Zhengmao Li 2025 IEEE Transactions on Smart Grids

Min Hou, Xinrui Liu, Yating Wang, Zhengmao Li, Qiuye Sun 2025 Renewable Energy

Hui Hou, Yi Wan, Zhenguo Wang, Shaohua Wang, Zhengmao Li, Xiaolu Bai, Jianshuang Lv, Decheng Cai, Yiyang Shen 2025 IEEE Transactions on Industry Applications

Hui Hou, Yan Wang, Chao Liu, Wei Zhang, Yangjun Zhou, Zhengmao Li, Zhengtian Li, Xiangning Lin 2025 Power Generation Technology

Xueyong Jia, Yang Xia, Ziming Yan, Hongjun Gao, Dawei Qiu, Josep M. Guerrero, Zhengmao Li 2025 Applied Energy

Jueyou Li, Zhengmao Li 2025 IEEE Transactions on Power Systems

Zhengmao Li, Josep M. Guerrero, Yan Xu, Fushuan Wen, Nan Yang 2025 Journal of Energy Storage
More information on our research in the Aalto research portal.
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