Navigation:
- ICS Power and Climate Data, 2021, January – December
- ICS Power and Climate Data, 2020, March – August
- Measurements of the Microclimatic State, 2020, May – August
- Measurements of the Microclimatic State, 2019, September – October
ICS Power and Climate Data
January, 2021 – December, 2021
The dataset contains power consumption measurements collected from the campus of Trapeznikov Institute of Control Sciences from 2021, January to 2021, December. The dataset also contains data on temperature, CO2, humidity and light measured by LoRa sensors placed at several rooms of the building.
The data were collected from two buildings:
- Administrative where the headquarters, financial service, human resources and other common services are located. This building also include two conference halls, canteen and lecture rooms.
- Laboratory building where the research staff is located.
Each building is powered by three-phase 220/380 V feeders coming from the transformer station. Administrative building is powered by 30 feeders and the laboratory building is powered by 65 feeders. Smart three-phase energy meters Mercury 234-ART were installed at each feeder.
The following parameters are measured:
| Parameter | Dataset key | Units |
| Active power at phases 1,2,3 | P1, P2, P3 | W |
| Active power of the sum of the phases | PT | W |
| Reactive power at phases 1,2,3 | Q1, Q2, Q3 | VAR |
| Reactive power of the sum of the phases | QT | VAR |
| RMS voltage at phases 1,2,3 | U1, U2, U3 | V |
| RMS current at phases 1,2,3 | I1, I2, I3 | A |
| Angles between phase voltages | Alpha1, Alpha2, Alpha3 | Degrees |
| Frequency of the grid | frequency | Hz |
| Total harmonic distortion at phases 1,2,3 | harmonic1, harmonic2, harmonic3 | % |
Download the dataset:
2021, January
The dataset consists of several archives, each archive contains data for a month. The data are stored in CSV files, each file correspond to a sensor. All files contain timestamps in the first column and the data keys in the other columns. The first line is the header with the data keys. The timestamps are milliseconds since 1970, Jan 1.
2021, February
2021, March
2021, April
2021, May
2021, June
2021, July
2021, August
2021, September
2021, October
2021, November
2021, December
devices_power_eng.csv – general device description
FeederConsumerRoomPhase_2021.csv – energy consumers locations and feeders
March, 2020 – August, 2020
The dataset contains power consumption measurements collected from the campus of Trapeznikov Institute of Control Sciences from 2020, March to 2020, August. The dataset also contains data on temperature, CO2, humidity and light measured by LoRa sensors placed at several rooms of the building.
The data were collected from two buildings:
- Administrative where the headquarters, financial service, human resources and other common services are located. This building also include two conference halls, canteen and lecture rooms.
- Laboratory building where the research staff is located.
Each building is powered by three-phase 220/380 V feeders coming from the transformer station. Administrative building is powered by 30 feeders and the laboratory building is powered by 22 feeders. Smart three-phase energy meters Mercury 234-ART were installed at each feeder.
The following parameters are measured:
| Parameter | Dataset key | Units |
| Active power at phases 1,2,3 | P1, P2, P3 | W |
| Active power of the sum of the phases | PT | W |
| Reactive power at phases 1,2,3 | Q1, Q2, Q3 | VAR |
| Reactive power of the sum of the phases | QT | VAR |
| RMS voltage at phases 1,2,3 | U1, U2, U3 | V |
| RMS current at phases 1,2,3 | I1, I2, I3 | A |
| Angles between phase voltages | Alpha1, Alpha2, Alpha3 | Degrees |
| Frequency of the grid | frequency | Hz |
| Total harmonic distortion at phases 1,2,3 | harmonic1, harmonic2, harmonic3 | % |
Download the dataset:
2020, March
The dataset consists of several archives, each archive contains data for a month. The data are stored in CSV files, each file correspond to a sensor. All files contain timestamps in the first column and the data keys in the other columns. The first line is the header with the data keys. The timestamps are the milliseconds since 1970, Jan 1.
2020, April
2020, May
2020, June
2020, July
2020, August
2020, September
Feeder_brief_description.csv – a brief description of consumers connected to feeders
FeederConsumerRoomPhase.csv – detailed information about rooms and types of consumers connected to feeders
Measurements of the Microclimatic State
May, 2020 – August, 2020
The dataset contains measurements of the microclimatic state for several rooms in the building of the institute. The data are synchronized with a weather station, which is placed on the roof of the building, and grouped by months (spring-summer 2020). It is noteworthy that the data were collected during COVID-19 quarantine restrictions, so there can be no impact of people in the building. These conditions are perfect for determining time-independent room parameters, such as thermal resistance of walls, heat capacity of objects in the room, etc.
Measured state variables:
– air temperature
– the concentration of carbon dioxide
– relative humidity
– illumination
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September, 2019 – October, 2019
The dataset contains measurements of the microclimatic state of seven lecture rooms and two conference halls in the building of the research institute. The data was collected during the regular operation of the building, in the period from September to October 2019. The lecture rooms are designed for about 30-50 people, conference halls for 200 and 500 people respectively. All rooms are located in the three-storey building with an area of 4000 sq. m., built in 1968, where the administrative services of the Institute and a complex of dining rooms and rooms for public events are located. Institute is located at coordinates 55.651406 s. w., 37.536486 v. d., the climate is humid moderately continental, with a strong influence of the Atlantic Ocean, with a clearly defined seasonality.
The building is equipped with its own air heating and cooling system, the classrooms are additionally equipped with radiators and air conditioners. The sensor network with a central server was deployed using LoRaWAN wireless technology.
Measured state variables:
– air temperature
– the concentration of carbon dioxide
– relative humidity
– illumination
The potential data slices:
Rooms can be divided into three groups based on the presence of common walls.
Classrooms 9 and 10 have a common vestibule, a common exterior wall, and one common interior wall. Classrooms 4, 5, 6, 7 and 8 are located along one external wall, have common internal walls with ordinal neighbours and access to one common corridor. conference rooms open into one large hall of the building, the emergency exits of the halls are combined. The scheme of the case is most fully presented in the system developed by the staff of the CEE Center on the basis of the CMDBuild software http://193.232.208.42:8080/cmdbuild/ui/.
We hope that this dataset will be useful for researchers of energy efficiency and buildings comfort control.
Download the dataset: