Categories |
BIG DATA
MACHINE LEARNING
POWER ENGINEERING
ELECTRICAL
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Call for Papers |
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Aims and Scope ---------------- Today, power systems around the world are undergoing significant changes to meet the trends and requirements of low carbon and sustainable development. In particular, the increasing availability and grid connection of renewable energy sources poses many challenges in terms of the electrical energy production, storage, transmission and usage, such as the random and fluctuating nature of renewable energy, the secure and reliable long distance power transmission, the efficient and dynamic power distribution etc. To target these issues, smart/big data are considered as an essential technology which can facilitate the smart grid and global energy interconnections in various aspects. Hence, studying the emerging data technology and their application to the power systems is of great interests. interests. The goal of this workshop is to bring together leading researchers and developers from both industry and academia to discuss and present their views on the latest smart data applications in the new power systems to embrace the "Internet of era". -------------------- Topics of Interest -------------------- The topics include, but are not limited to the following: • Smart/big data-driven renewable power generation and storage; • Smart/big data-based condition monitoring for key power transmission and distribution equipment; • Data sensing, extraction, and fusion applications in power systems; • Machine Learning applications in new power systems and energy internet; • Smart/big data-driven power consumption prediction; • Smart/big data-driven prediction power-line state, environment; • Data collection, transformation and transmissions in power systems; • Efficient data fusion Strategy in power systems; • New power systems architecture and infrastructure design; • Smart/big data-driven decentralized learning and Cloud/Cluster/Fog/Edge Computing in new power systems; • Smart/big data-driven algorithms promoting the performance of existing power systems，i.e., capacity increasing, load balancing and so on; • The integration of renewable and internet information technology. -------------------------- Submission Instructions: -------------------------- The submission link: https://edas.info/N29463. The proceedings of the SmartData2022 Workshops will be published by IEEE (IEEE DL and EI indexed) and will be made available to all conference registrants on site. A workshop submission in PDF is limited to 6 pages following the IEEE proceedings format (or up to 8 pages with an additional charge for extra pages), including tables, figures, references and appendices. ----------------- Important dates: ----------------- Due date for submissions: April 15, 2022 Notification of decision to authors: June 10, 2022 Camera ready of accepted papers: June 25, 2022 Workshop: August 22-25, 2022 ----------------- Workshop Chairs: ----------------- Prof. Jianwei Zhang, University of Hamburg, Germany. Dr. Qinwei He, Global Energy Interconnection Research Institute Europe GmbH, Germany. Contact: [email protected] |
Summary |
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ESDPS 2022 : IEEE Smart Data Workshop on Emerging Smart Data Applications in New Power Systems will take place in Espoo, Finland. It’s a 4 days event starting on Aug 22, 2022 (Monday) and will be winded up on Aug 25, 2022 (Thursday). ESDPS 2022 falls under the following areas: BIG DATA, MACHINE LEARNING, POWER ENGINEERING, ELECTRICAL, etc. Submissions for this Workshop can be made by Apr 15, 2022. Authors can expect the result of submission by Jun 10, 2022. Upon acceptance, authors should submit the final version of the manuscript on or before Jun 25, 2022 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the ESDPS 2022
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Credits and Sources |
| [1] ESDPS 2022 : IEEE Smart Data Workshop on Emerging Smart Data Applications in New Power Systems |
