Energy consumption and PV generation data of 50 prosumers and energy consumption of 40 electric vehicles - 15-minute resolution Ricardo Faia, João Soares, Mohammad Ali Fotouhi Ghazvini, John F. Franco, Zita Vale Data used in the following paper: Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach, Frontiers in Energy Research (published, https://www.frontiersin.org/articles/10.3389/fenrg.2021.705066/full). DOI: 10.3389/fenrg.2021.705066 Type: Energy consumption and PV generation data Duration: 24 hours (15-minute 96 periods) Resolution: 15 minutes Application: Paper Submitted on Frontiers - Research Topic - Energy Flexible Buildings in Local Energy and Flexibility Markets Sheets description: Gen: Contain the generation of each prosumer Load: Contain the load of each prosumer Prices_buy: Buy prices for prosumers (EDP commercial retailer) Prices_sell: Price of feed-in in Portugal (2019 and 2020) Bat: Contain the information of prosumers batteries Grid: Contain the information related with prosumers grid interactions EV_Moves: contain the information if the EV are on movement or stopped (0- stopped, 1 on move) EV_min: contain the minimum limit for EV batteries (% of maximum capacity of battery) EV_con: contain the minimum limit for EV batteries (% of maximum capacity of battery) EV_Buy_Prices: Buy prices for EV (EDP commercial retailer) EV_Grid: Contain the information related with EV grid interactions EV_inf: contain information of EVs batteries EV_model: Models of EVs used General Information: contain information regarding all 90 players Tariff: Contain 13 different tariff for buy electricity (EDP commercial retailer) R&D center: http://www.gecad.isep.ipp.pt/ Project website: http://www.gecad.isep.ipp.pt/CENERGETIC/

This research has received funding from FEDER funds through the Operational Programme for Competitiveness and Internationalization (COMPETE 2020), under Project POCI-01-0145-FEDER-028983; by National Funds through the FCT Portuguese Foundation for Science and Technology, under Projects PTDC/EEI-EEE/28983/2017 (CENERGETIC), CEECIND/02814/2017 (Joao Soares grant), UIDB/000760/2020, and SFRH/BD/133086/2017 (Ricardo Faia PhD grant).