Towards Sustainable Energy: Renewable Energy Utilization and Near-Zero Carbon Regulation Technologies in Modern Industrial Parks

Dear Colleagues,

The low-carbon development of the energy economy has become a common goal worldwide. As major consumers of energy, modern industrial parks play an increasingly important role in carbon reduction. Modern industrial parks establish multi-energy complementary power networks by integrating energy forms such as photovoltaics, wind power, natural gas, energy storage, and electric vehicles. Different kinds of energy (such as renewable energy, traditional energy, and energy storage facilities) often reduce carbon emissions through the dynamic interaction technology of smart microgrids. However, in this process, it is necessary to address challenges such as real-time balance of energy supply and demand, and structural matching within the park. To achieve these, it is necessary to study multi-energy regulation technologies aimed at near-zero carbon emissions, to optimize the energy efficiency of large energy systems through intelligent collaborative scheduling technology, to study digital twins and carbon management platforms to monitor enterprise energy data in real time and support carbon trading, and finally to study new energy storage support technologies to enhance the resilience of the smart grid. Through the above technologies, we can aim to provide the best reference of carbon emission technology for modern industrial parks using a large amount of energy.

This Special Issue welcomes theoretical and practical contributions aimed at further understanding of smart grid related techniques, including time-series processing technology, load-generation forecasting technology, probabilistic fault warning technology, multimodal data processing technology, renewable energy fluctuation prediction, vehicle network interaction regulation, new energy storage forms, carbon equivalence and certification technology, and comprehensive energy efficiency evaluation technology. It seeks original research articles as well as review articles. Potential topics include, but are not limited to, the following:

• Multi-energy complementary optimization control technology;
• Power generation and load forecasting, status monitoring, and diagnosis based on power status data (such as SCADA, PMU);
• Carbon equivalence methods and carbon footprint identification methods for industrial parks;
• Exploring deep reinforcement learning architectures to enable real-time decision-making in multi-energy systems under uncertainty;
• Developing decentralized AI models that ensure data confidentiality across stakeholders while improving grid anomaly detection and predictive maintenance;
• Creating AI-generated synthetic datasets to enhance grid resilience testing and address data scarcity in rare fault scenarios;
• Multi-energy complementary coordination and control technology for offshore wind power, wave energy, and other marine energy sources.

Dr. Xianbo Wang
Dr. Zhidong Li
Dr. Tao Tao
Guest Editors

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