João P. S. Catalào

· Universidade do Porto
101h 指数
38,216总引用
1179发文
605i10

简介

João P. S. Catalão is a Full Professor ("Professor Catedrático") at the Faculty of Engineering of the University of Porto, Portugal. He is an IEEE Fellow, class of 2022. He was a Highly Cited Researcher in the field of Engineering in 2023. He is among the Top 2% of Scientists, since 2019, and a Best Scientist in Research.com, since 2022. He was the Primary Coordinator of the 5.2-million-euro FP7-EU project SiNGULAR (2012-2015). Currently, he is the Primary Coordinator of the 4.5-million-euro Horizon-EU project EU-DREAM (2024-2027) and the Primary Coordinator of the 5.4-million-euro Horizon-EU project INNO-TREC (2026-2029). He has coauthored more than 500 journal publications, with an h-index of 115 and more than 48,000 citations (according to Google Scholar), having supervised more than 150 researchers (post-docs, PhD and M.Sc. students, and other students with project grants). He was the General Chair of SEST 2019 (technically co-sponsored by IEEE), after being the inaugural Technical Chair and co-founder of SEST 2018. He was the Editor of two CRC Press Books: "Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling" (2012) and "Smart and Sustainable Power Systems: Operations, Planning and Economics of Insular Electricity Grids" (2015). He was an IEEE CIS Fellows Committee Member in 2022-2024 (three consecutive years). He was recognized as an Outstanding Associate Editor 2023 of the IEEE Transactions on Emerging Topics in Computational Intelligence, an Outstanding Associate Editor 2021 of the IEEE Transactions on Power Systems, and an Outstanding Senior Associate Editor 2020 of the IEEE Transactions on Smart Grid. Furthermore, he has won 5 Best Paper Awards at IEEE Conferences. His research interests include power system operations and planning, power system economics and electricity markets, distributed renewable generation, demand response, smart grid, and multi-energy carriers.

研究方向

Smart Grid Energy ManagementElectric Power System OptimizationMicrogrid Control and OptimizationOptimal Power Flow DistributionElectric Vehicles and Infrastructure

数据来源: OpenAlex + ORCID + Wikidata · 数据质量: verified

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