Introduction This dataset contains historic data for 20 electric grid consumption and energy injection tariffs in Portugal, during 2023. The data includes both retail tariffs for grid consumption energy and feed-in income tariffs for energy injected back into the grid. Data Overview The dataset comprises the following key elements: 1. Grid Consumption (Retail Tariffs): Retail tariffs refer to the cost per unit of electricity consumed from the grid. Tariff values are given in euro (€) per kWh and vary across different retailers and hour schemes. 2. Energy Injection (Feed-in Tariffs): Feed-in tariffs represent the compensation per unit of electricity generated by solar systems and fed back into the grid. Tariff values are presented in € per kWh and vary across different retailers and conditions. Assumptions The retail tariffs in this dataset refer to the consumed energy only and do not include taxes, contracted power costs, and other fees. The dataset starts on Jan 1st, 2023, and ends on Dec 31st, 2023. The dataset uses a 15min time step for each line. The price per hour is applied to each of the four 15 minutes steps. Reference data used to create this dataset: ERSE Regulatory data simulator - https://simulador.precos.erse.pt/eletricidade/ 2023 Energy Cost Description - https://www.erse.pt/en/activities/market-regulation/tariffs-and-prices-electricity GALP - https://casa.galp.pt/planos-eletricidade-e-gas Eni Plenitude - https://eniplenitude.pt/eletricidade Repsol - https://www.repsol.pt/particulares/casa/eletricidade-gas/ EDP - https://www.edp.pt/empresas/energia/tarifarios/ We would be grateful if you could acknowledge the use of this dataset in your publications.

This article was developed under the “NGS - New Generation Storage” Innovation Pact (C644936001-00000045), by the “NGS” Consortium, co-funded by the NextGenerationEU, through the investment “Agendas para a Inovação Empresarial” of the Portuguese Recovery and Resilience Plan (PRR).” The authors acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/2020), DOI:10.54499/UIDB/00760/2020 to the project team.