Automated Organization ProfileBouygues Energies et Services
Bouygues Energies et Services
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The dataset consists of energy consumption and weather data collected continuously during a period of 29 months at Challenger building (France). Energy consumption data at 10 minutes intervals include: Heating and cooling electrical consumption (indoor and outdoor comfort units) for the 8 zones in the South Triangle (kWh) Lighting consumption for the 8 zones in the South Triangle (kWh) Plug load consumption for the 8 zones in the South Triangle (kWh) Sanitary consumption for the 8 zones in the South Triangle (kWh) Blinds consumption for the 8 zones in the South Triangle (kWh) Air handling unit consumption for the South Triangle (kWh) Total electrical consumption for the South Triangle (kWh) Thermal energy consumption for VRF (Variable refrigerant flow) units of the South Triangle (kWh) Weather data include: Daily degree days (°C) Hourly humidity (%) Daily rain precipitation (mm) Hourly direct and global radiation (J/cm2) Daily sunshine hours (hrs) Hourly temperature (°C) The data set contains
- Timeseries as CSV files
- Timeseries metadata (description, unit, type,...) as JSON file The data have been made available from the BMS database, thanks to the BEMServer open-source platform - www.bemserver.org, developed in the HIT2GAP project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement n. 680708 - www.hit2gap.eu.
Authors
- MOUAWAD, Jessica
The dataset consists of energy consumption and weather data collected continuously during a period of 29 months at Challenger building (France). Energy consumption data at 10 minutes intervals include: Heating and cooling electrical consumption (indoor and outdoor comfort units) for the 8 zones in the South Triangle (kWh) Lighting consumption for the 8 zones in the South Triangle (kWh) Plug load consumption for the 8 zones in the South Triangle (kWh) Sanitary consumption for the 8 zones in the South Triangle (kWh) Blinds consumption for the 8 zones in the South Triangle (kWh) Air handling unit consumption for the South Triangle (kWh) Total electrical consumption for the South Triangle (kWh) Thermal energy consumption for VRF (Variable refrigerant flow) units of the South Triangle (kWh) Weather data include: Daily degree days (°C) Hourly humidity (%) Daily rain precipitation (mm) Hourly direct and global radiation (J/cm2) Daily sunshine hours (hrs) Hourly temperature (°C) The data set contains
- Timeseries as CSV files
- Timeseries metadata (description, unit, type,...) as JSON file The data have been made available from the BMS database, thanks to the BEMServer open-source platform - www.bemserver.org, developed in the HIT2GAP project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement n. 680708 - www.hit2gap.eu.
Authors
- MOUAWAD, Jessica