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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.

Latest publications

Xueqian Fu, Qiaoyu Ma, Zhengmao Li, Jiarong Li, Ruixue Feng, Hongbin Sun, Youmin Zhang 2026 IEEE Transactions on Smart Grid

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

Abubakr Hassan, Ali T. Al-Awami, Zhengmao Li 2026 Energy Conversion and Management

Taotao Li, Xiaoqi Zeng, Xiao Qi, Tianyang Zhao, Zhengmao Li, You Lv, Yajun Qiao, Zijian Tan, Jizhen Liu, Jinghan He, Weixiong Wu 2026 Green Energy and Intelligent Transportation

Xinghua Liu, Xiaoyu Wang, Bangji Fan, Zhengmao Li, Gaoxi Xiao, Shiping Wen, Badong Chen 2026 Engineering Applications of Artificial Intelligence

Zhao Shi, Zhengmao Li, Shun Chen, Yan Xu, Dunjian Xie 2026 IEEE Transactions on Industrial Informatics

Zijian Wang, Ziwen Gu, Josep M. Guerrero, Yatao Shen, Ziwen Guo, Zhiming Deng, Chun Huang, Zhengmao Li 2026 IEEE Transactions on Power Systems

Tianhao Wu, Yuning Jiang, Simeng Cui, Zhengmao Li, Sheng Wang, Junyi Zhai 2026 Applied Energy

Junyi Zhai, Xianhui Gao, Sheng Wang, Zhengmao Li, Jianxiao Wang 2026 IEEE Transactions on Smart Grid

Rufeng Zhang, Yanjing Chen, Kefei Yan, Zhengmao Li, Tao Jiang, Guoqing Li, Xue Li 2026 IEEE Transactions on Sustainable Energy
More information on our research in the Aalto research portal.
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