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{'doi': '10.1049/icp.2023.2703', 'member_id': '265', 'member': 'Institution of Engineering and Technology', 'container-title': '7th E-Mobility Power System Integration Symposium (EMOB 2023)', 'primary-resource': 'https://digital-library.theiet.org/content/conferences/10.1049/icp.2023.2703', 'tld': 'theiet.org', 'clearbit-logo': 'https://logo.clearbit.com/theiet.org', 'coaccess': [], 'multiple-resolution': [{'url': 'https://0-ieeexplore-ieee-org.brum.beds.ac.uk/document/10324596', 'tld': 'ieee.org', 'clearbit-logo': 'https://logo.clearbit.com/ieee.org'}], 'type': 'PROCEEDINGS ARTICLE', 'published_date': '2023', 'publication': '7th E-Mobility Power System Integration Symposium (EMOB 2023)', 'supplementary_ids': None, 'title': 'Towards a short-term forecasting framework to efficiently charge company EV fleets', 'name': None, 'id': None, 'location': None, 'display_doi': 'https://0-doi-org.brum.beds.ac.uk/10.1049/icp.2023.2703', 'grant_info': None, 'editors': None, 'authors': 'S. Gohlke | Z. Nochta', 'chairs': None}
https://0-doi-org.brum.beds.ac.uk/10.1049/icp.2023.2703
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