Collaborating Across Borders: Advancing AI and Energy Innovation with IERE

I have been deeply engaged with IERE by serving as the technical lead for my organization in AI collaboration projects. As project leader, I spearheaded IERE’s 1st round AI collaboration project on “Short-term Load Forecasting” (2020-2022), with NARI as the application developer and PLN as the data provider. I continued this involvement in IERE’s 2nd AI collaboration project on “Short-term Feeder Load Forecasting” (2022-2024), where NARI served as the application developer and K-Electric as the data provider. These projects demonstrated the effectiveness of IERE community collaboration in advancing AI applications for power systems.

The most compelling aspect of IERE activities is the collaborative approach to solving real-world energy challenges. The organization facilitates meaningful partnerships between technology developers and data providers from different countries, creating a rich innovation environment. The practical focus on implementable solutions, combined with diverse participating organizations, ensures research outcomes are technically sound and globally applicable. This framework accelerates technological advancement while fostering mutual learning among international partners.

I anticipate IERE will continue expanding as a catalyst for international energy innovation. Future activities should explore emerging technologies such as advanced AI applications, renewable energy integration, and smart grid optimization. I expect increased focus on sustainability and carbon neutrality objectives, addressing global climate challenges. Enhanced digital collaboration tools and expanded membership from developing nations would strengthen IERE’s global impact, enabling comprehensive solutions to worldwide energy challenges.

——Profile of Jixiang LU
Researcher of National Key Laboratory of Power Grid Operation Risk Prevention Technology and Equipment, State Grid Electric Power Research Institute, NARI Group Corporation, China, Member of IERE since 2009.

“My research primarily focuses on AI applications for Energy Management Systems (EMS), with particular emphasis on AI-assisted power grid dispatch planning and operations. My work involves developing intelligent solutions to enhance the efficiency, reliability, and safety of power system operations through advanced artificial intelligence technologies.”