Period of collection: 2019-2026 DOI: 10.5281/zenodo.19006030 This repository contains energy monitoring datasets collected at the Escuela Técnica Superior de Ingenieros de Telecomunicación (ETSIT) of the Universidad Politécnica de Madrid (UPM).The datasets include building-level electricity consumption, photovoltaic generation, CO₂ intensity of electricity generation, electricity market prices, and solar generation forecasts. The monitoring infrastructure covers four buildings of the ETSIT campus: Building A Building B Building C Building D The repository also includes external energy-related datasets from the Spanish electricity system obtained via the Red Eléctrica de España (REE) public API. Dataset Overview | Dataset | Description | Coverage | |---|---|---| | Building A Energy Consumption | Detailed sub-metered power consumption | 2019 | | Building B Energy Consumption | Total and HVAC power consumption | 2019 | | Building C Energy Consumption & PV Generation | Detailed floor-level loads and photovoltaic generation | 2019 | | Building D Energy Consumption | Total building consumption | 2019 | | CO₂ Generation Intensity | Spanish electricity generation CO₂ intensity | 2014–2020 | | Electricity Market Prices | Spanish daily spot electricity market prices | 2014–2021 | | Solar Generation Forecast | Forecasted solar generation and installed capacity | 2015–2020 | | **ETSIT Energy Monitoring (Extended Dataset)** | Updated campus monitoring data | [**2026**](./datasets_2026/) | ETSIT Campus Energy Monitoring Datasets All building datasets are recorded at 1-minute intervals. Dataset 1: edificio_A_pro_power_2019.csv File: edificio_A_pro_power_2019.csv File Format CSV with the following columns: Column name Type Description unix_ref integer Unix timestamp in seconds (UTC) date Date Local date of the measurement (YYYY-MM-DD)(UTC+1) time time Local time of the measurement (HH:MM:SS) L_1 integer Total power consumption of Building A [W] L_2 integer HVAC power consumption of Building A [W] L_3 integer Cafeteria power consumption [W] L_4 integer Library power consumption [W] L_5 integer HVAC library power consumption [W] Notes Data is recorded at 1-minute intervals. Time coverage: 2019 Dataset 2: edificio_B_pro_power_2019 File: edificio_B_pro_power_2019.csv File Format CSV with the following columns: Column name Type Description unix_ref integer Unix timestamp in seconds (UTC) date Date Local date of the measurement (YYYY-MM-DD)(UTC+1) time time Local time of the measurement (HH:MM:SS) General integer Total power consumption of Building B [W] HVAC integer HVAC power consumption of Building B [W] Notes Data is recorded at 1-minute intervals. Time coverage: 2019 Dataset 3: edificio_C_pro_power_2019 File: edificio_C_pro_power_2019.csv File Format CSV with the following columns: Column name Type Description unix_ref integer Unix timestamp in seconds (UTC) date date Local date of the measurement (YYYY-MM-DD)(UTC+1) time time Local time of the measurement (HH:MM:SS) PV_1 float Photovoltaic generation — inverter 1 [W] PV_2 float Photovoltaic generation — inverter 2 [W] PV_3 float Photovoltaic generation — inverter 3 [W] PV_4 float Photovoltaic generation — inverter 4 [W] PV_Tot float Total photovoltaic generation of Building C [W] L_1 float HVAC power consumption of Building C [W] L_5 float Ground floor power consumption of Building C [W] L_6 float 1st floor east power consumption of Building C [W] L_7 float 1st floor west power consumption of Building C [W] L_8 float 2nd floor east power consumption of Building C [W] L_9 float 2nd floor west power consumption of Building C [W] L_10 float 3rd floor east power consumption of Building C [W] L_11 float 3rd floor west power consumption of Building C [W] L_12 float Outdoor lighting power consumption of Building C [W] L_Tot float Total power consumption of Building C [W] L_13 float Institute for Optoelectronic Systems and Microtechnology (ISOM) consumption [W] Notes Data is recorded at 1-minute intervals. Time coverage: 2019 Dataset 4: edificio_D_pro_power_2019 File: edificio_C_pro_power_2019.csv File Format CSV with the following columns: Column name Type Description unix_ref integer Unix timestamp in seconds (UTC) date date Local date of the measurement (YYYY-MM-DD)(UTC+1) time time Local time of the measurement (HH:MM:SS), 24-hour format Power integer Total power consumption of Building D [W] Notes Data is recorded at 1-minute intervals. Time coverage: 2019 Electricity System Datasets These datasets provide contextual information for energy analysis, including emissions, electricity prices, and renewable forecasts. Dataset 5 — CO₂ Generation Intensity File:CO2AsociadoGeneraciónT.Real_2014-2020_res_horaria_CO2AsociadoGeneraciónT.csv File Format Column Type Description id float REE API request identifier name string Indicator name Geo_ID string Geographic identifier (unused) Geo_Name string Geographic name (unused) Value float CO₂ intensity [tCO₂/MWh] Datetime timestamp Local timestamp Notes Source: Red Eléctrica de España (REE) API Resolution: Hourly Coverage: 2014–2020 Dataset 6 — Electricity Market Prices File:export_PrecioMercadoSPOTDiarioEspaña_2021.csv File Format Column Type Description id integer REE API request ID name string Indicator name geo_id integer Geographic zone ID geo_name string Geographic zone name value float Daily spot market price [€/MWh] datetime timestamp Local timestamp Notes Source: Red Eléctrica de España (REE) API Resolution: Hourly Coverage: 2014–2021 geo_id = 3 corresponds to mainland Spain Dataset 7 — Solar Generation Forecast File: previsión_solar.xlsx Relevant data is located in the sheet RESUMEN. File Format Column Type Description datetime timestamp Local timestamp Prev. Generación float Solar generation forecast [MW] Pot. SolarPV float Photovoltaic solar power [MW] Pot. SolarTérmica float Solar thermal power [MW] Pot. SolarTotal float Total solar power [MW] Prev. Generación [MW/MW instalado] float Normalized generation Notes Coverage: 2015–2020 Resolution: Hourly Timezone offset may vary (+01:00 winter, +02:00 summer) Extended Dataset (2026) New datasets collected in 2026 extend the ETSIT energy monitoring infrastructure and include additional campus energy measurements and updated contextual energy indicators. These files provide updated energy consumption, renewable production, and energy system indicators, enabling research in: Energy demand forecasting Smart campus energy management Demand-response optimization Renewable integration analysis Energy-aware building operation Potential Research Applications The datasets support research in: Energy demand prediction Smart building analytics Demand-response optimization Renewable energy forecasting Energy-aware campus management Carbon-aware electricity consumption Data Sources ETSIT energy monitoring infrastructure (UPM) Red Eléctrica de España (REE) public API National renewable energy forecasts License Unless otherwise stated, datasets are provided for research and educational purposes.External datasets follow the licensing terms of their respective providers. Citation If you use these datasets in research or publications, please cite: CODECO — COgnitive DECentralized Orchestration Horizon Europe Grant Agreement No. 101092696 Dataset ID: HEU-101092696-CODECO-SDG Contact Data collection was performed at ETSIT – Universidad Politécnica de Madrid (UPM). For questions about the datasets contact the authors referenced in each README For questions on the codeco project: Project: CODECO — COgnitive DECentralized Orchestration Programme: Horizon Europe Grant Agreement: 101092696 Topic: HORIZON-CL4-2022-DATA-01 More information about the project: https://www.codeco-project.eu