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Open Data Sets
These data are intended to be used by researchers and other professionals working in power and energy related areas and requiring data for design, development, test, and validation purposes. These data should not be used for commercial purposes.
The public data sets are permanently available in http://site.ieee.org/pes-iss/data-sets.
Dissemination of this initiative is taking place so that the number and diversity of the published data sets increase over time and can be used as a valuable public resource for R&D activities. Your contribution for this initiative can be very important. Please disseminate and contribute; use our contact points (gecad@isep.ipp.pt; zav@isep.ipp.pt) to have all the data that can be made public published in the website.
Please check our Call for Open Data Sets.
These data sets can be used in research and development activities and the obtained results can be published in scientific publications.
Please send us your comments about the data sets and feedback on the use you’re making of them. If you use any of these data sets in your scientific publications, please don’t forget to make a reference to this web page (helping us to disseminate the initiative) and to the respective references (registered in the “sources” column of the data sets table).
We also kindly ask you to inform us about your publications that use any of these data sets so that we also include them in the dataset reference list.
The following tables below allow access to Data Sets for the following areas:
- Consumption
- Electric Vehicles
- Power Quality
- PV Generation
- Reliability
- Weather Data
- Wind Based Generation
- General Energy Data
You can access some references that use some of the available data sets here
Consumption
The Consumption Data Sets are now available both in Excel and RDF formats.
The Data Sets have been translated to RDF, using the W3C Data Cube vocabulary. They import the SEAS (ITEA 12004) ontology, and its module for measures.
| Source | Short description | Link | Contact |
|---|---|---|---|
| Private Home 1 [Canizes, 2015] |
Measurement site: Single family housing Sampling period: 5 minutes Start: 03-June-2011; End: 18-June-2011 Installation single-phase 5.75 kVA |
Download as Excel Download RDF Data Cube |
zav@isep.ipp.pt |
| Private Home 2 [Canizes, 2015] |
Measurement site: Single family housing Sampling period: 5 minutes Start: 16-July-2012; End: 26-July-2012 Installation three-phase 6.90 kVA |
Download as Excel Download RDF Data Cube |
zav@isep.ipp.pt |
| Private Home 3 [Canizes, 2015] |
Measurement site: Single family housing Sampling period: 5 minutes Start: 23-January-2013; End: 07-February-2013 Installation single-phase 5.75 kVA |
Download as Excel Download RDF Data Cube |
zav@isep.ipp.pt |
| Private Home 4 [Canizes, 2015] |
Measurement site: Single family housing Sampling period: 5 minutes Start: 06-January-2014; End: 30-January-2014 Installation single-phase 3.45 kVA |
Download as Excel Download RDF Data Cube |
zav@isep.ipp.pt |
| Private Home 5 [Canizes, 2015] |
Measurement site: Single family housing Sampling period: 5 minutes Start: 04-August-2011; End: 18-August-2011 Installation single-phase 6.9 kVA |
Download as Excel Download RDF Data Cube |
zav@isep.ipp.pt |
| Private Home 6 | Measurement site: Single family housing Sampling period: 15 minutes Start: 25-December-2011; End: 15-March-2013 Installation single-phase 10.35 kVA |
Download as Excel | zav@isep.ipp.pt |
| Private Home 7 | Measurement site: Single student housing Sampling period: 5 minutes Start: 26-September-2011; End: 03-October-2011 Installation single-phase 6.9 kVA |
Download as Excel Download RDF Data Cube |
zav@isep.ipp.pt |
| Private Home 8 | Measurement site: Single family housing Sampling period: 5 minutes Start: 01-June-2012; End: 15-June-2012 Installation single-phase 3.45 kVA |
Download as Excel Download RDF Data Cube |
zav@isep.ipp.pt |
| Private Home 9 | Measurement site: Single family housing Sampling period: 5 minutes Start: 29-December-2012; End: 12-January-2013 Installation single-phase 3.45 kVA |
Download as Excel Download RDF Data Cube |
zav@isep.ipp.pt |
| Private Home 10 [Fernandes, 2013] |
Measurement site: Single family housing Sampling period: 1 minute Start: 01-June-2012; End: 30-June-2012 Installation single-phase 17.25 kVA |
Download as Excel | zav@isep.ipp.pt |
| Office 1 [Gomes, 2015] |
Measurement site: Office Sampling period: 10 seconds Start: 11-July-2014; End: 17-July-2014 Installation three-phase with university contract power |
Download as Excel | zav@isep.ipp.pt |
| Office 2 | Measurement site: Office Sampling period: 5 minutes Start: 01-November-2014; End: 30-November-2014 Installation three-phase with university contract power |
Download as Excel | zav@isep.ipp.pt |
| Office 3 | Measurement site: Office Sampling period: 10 seconds Period: October 2014 to April 2015 Installation three-phase with university contract power |
Download October 2014 as Excel Download November 2014 as Excel Download December 2014 as Excel Download January 2015 as Excel Download February 2015 as Excel Download March 2015 as Excel Download April 2015 as Excel |
zav@isep.ipp.pt |
| Office 4 | Measurement site: Office Building Sampling period: 5 minutes Start: 01-July-2016; End: 31-December-2016 Installation three-phase with university contract power |
Download as Excel | zav@isep.ipp.pt |
| Commercial 1 [Canizes, 2015] |
Measurement site: Commercial bar Sampling period: 1 minute Start: 02-July-2014; End: 07-July-2014 Installation three-phase 27.60 kVA |
Download as Excel | zav@isep.ipp.pt |
| Refrigerator | Measurement site: Refrigerator (power and sensors) Sampling period: 5 seconds Start: 01-May-2017; End: 15-June-2017 |
Download as Excel | zav@isep.ipp.pt |
| Water Heater | Measurement site: Water Heater (power and sensors) Sampling period: 5 seconds Start: 10-May-2017; End: 10-June-2017 |
Download as Excel | zav@isep.ipp.pt |
Electric Vehicles
| Source | Short description | Link | Contact |
|---|---|---|---|
| Case with 1800 EVs / GECAD [Soares, 2013a] [Soares, 2013b] |
Database with a 24-period scenario of 1800 realistic EVs and PHEVs with a period resolution of 1 hour. The scenario represents a realistic behavior for a typical workday in a 33-bus MV sized network with 4.6MVA peak load. | Download as Excel | zav@isep.ipp.pt |
| 34 EVs database / GECAD | Electric Vehicles (EVs) database created by GECAD with multiple parameters that can be used in related works, i.e. impact assessment, smart grid optimization, road transport simulation, etc. | Download as Excel | zav@isep.ipp.pt |
Power Quality
| Source | Short description | Link | Contact |
|---|---|---|---|
| Laboratorial Essays of Polypropylene and All-film Power Capacitors [Spavieri, 2017] |
Database with 1380 files of current, voltage and active power measurements (a total of 460 laboratorial essays). These signals represent the real behaviour of polypropylene and all-film power capacitors under the influence of harmonic voltages. All voltage waveforms were configured in accordance with the IEEE, IEC and PRODIST (Brazilian) standards, relating to the harmonic limits. | Download as Zip | ricardo.asf@ufscar.br |
PV Generation
| Source | Short description | Link | Contact |
|---|---|---|---|
| PV GECAD LASIE [Ramos, 2012a] [Ramos, 2012b] |
Database from the GECAD PV system Sampling period: 5 minutes Period: 2013 |
Download January as Excel Download February as Excel Download March as Excel Download April as Excel Download May as Excel Download June as Excel Download July as Excel Download August as Excel Download September as Excel Download October as Excel Download November as Excel Download December as Excel |
zav@isep.ipp.pt |
| PV data Enerq-USP / Southeast of Brazil [Fernandes, 2016] |
Measurement site: Petrolina FV1 – Enerq/USP PV system profile Sampling period: 5 minutes Start: 01 – December – 2013; End: 10 – December – 2013 Season: Summer (Southeast of Brazil) Start: 01 – June – 2014; End: 10 – June – 2014 Season: Winter (Southeast of Brazil) |
Download Summer as Excel Download Winter as Excel |
nelsonk@pea.usp.br |
| PV GECAD N | Measurement site: Photovoltaic Generation Sampling period: 1 minute Start: 27-July-2016; End: 16-November-2016 Installation 10 kW |
Download as Excel | zav@isep.ipp.pt |
Reliability
| Source | Short description | Link | Contact |
|---|---|---|---|
| IEEE Reliability 24 bus / GECAD [Canizes, 2011] [Canizes, 2012] |
Complete fault database (10 years data – 2000 to 2009) for realiabilty test system 24 bus | Download as Excel | zav@isep.ipp.pt |
Weather Data
| Source | Short description | Link | Contact |
|---|---|---|---|
| National Solar Radiation Data Base 1961-1990 (NSRDB) | NSRDB contains 30 years of solar radiation and supplementary meteorological data from 237 NWS sites in the U.S., plus sites in Guam and Puerto Rico. | NSRDB website | Site Webmaster |
| NREL wind speed [Pinto, 2012] [Pinto, 2014] [Ramos, 2011] |
Database from the National Wind Technology – National Renewable Energy Laboratory (M2 Tower, latitude: 39° 54′ 38.34″ North; Longitude: 105° 14′ 5.28″ West; Elevation: 1855 meters AMSL)Sampling period: 5 minutes Start: January-2008; End: December-2012 |
Download as Excel | zav@isep.ipp.pt |
| Weather data / Porto, Portugal | Measurement site: Weather Station ISEP/IPP Sampling period: 5 minutes Data: Solar radiation, Temperature, Humidity, Wind Start: 01 – January – 2015; End: 31 – May – 2015 |
Download as Excel | zav@isep.ipp.pt |
| Weather data / Porto, Portugal | Measurement site: Weather Station ISEP/IPP Sampling period: 5 minutes Data: Solar radiation, Temperature, Humidity, Wind Start: 01 – January – 2016; End: 31 – December – 2016 |
Download as Excel | zav@isep.ipp.pt |
| Weather data / South of Brazil [Abreu, 2000] |
Measurement site: Horizon at station Florianopolis Sampling period: 1 hour Data: Solar radiation, Temperature, Humidity, Wind Start: 01 – January – 2000; End: 31 – January – 2000 Season: Summer (South of Brazil) Start: 01 – July – 2000; End: 31 – July – 2000 Season: Winter (South of Brazil) |
Download January as Excel Download July as Excel |
abreu@ifsc.edu.br |
| Weather 1 / South of Brazil | Measurement site: Sao Martinho da Serra Sampling period: 1 minute Data: Solar radiation, Temperature, Humidity, Wind Start: 01 – July – 2014; End: 31 – July – 2014 Season: Winter (South of Brazil) Start: 01 – January – 2015; End: 31 – January – 2015 Season: Summer (South of Brazil) |
Download July 2014 as Excel Download January 2015 as Excel |
sonda@inpe.br |
| Weather 2 / Midwest of Brazil | Measurement site: Brasilia station Sampling period: 1 minute Data: Solar radiation, Temperature, Humidity, Wind Start: 01 – July – 2014; End: 31 – July – 2014 Season: Winter (Midwest of Brazil) Start: 01 – January – 2015; End: 31 – January – 2015 Season: Summer (Midwest of Brazil) |
Download July 2014 as Excel Download January 2015 as Excel |
sonda@inpe.br |
| Weather 3 / Northeast of Brazil | Measurement site: Petrolina station Sampling period: 1 minute Data: Solar radiation, Temperature, Humidity, Wind Start: 01 – July – 2014; End: 31 – July – 2014 Season: Winter (Northeast of Brazil) Start: 01 – January – 2015; End: 31 – January – 2015 Season: Summer (Northeast of Brazil) |
Download July 2014 as Excel Download January 2015 as Excel |
sonda@inpe.br |
Wind Based Generation
| Source | Short description | Link | Contact |
|---|---|---|---|
| GECAD wind speed [Ramos, 2013] |
The data-base includes the values of the wind speed, recorded with time intervals of 10 minutes during the entire year of 2011. | Download as Excel | zav@isep.ipp.pt |
General Energy Data
| Source | Short description | Link | Contact |
|---|---|---|---|
| Energy | European Union Open Data Portal | Multiple open datasets in the energy domain, made available by the institutions and other bodies of the European Union (EU). Data are free for you to use and reuse for commercial or non-commercial purposes. | Website | Contact |
| Non-intrusive Appliance Load Monitoring (NIALM) | Public data sets on household energy consumption data into individual appliances, also known as Non-intrusive Appliance Load Monitoring (NIALM) or energy disaggregation. | Website | matthias.stifter@ait.ac.at |
References mentioned in the Data Sets tables above
| References | |
|---|---|
| [Abreu, 2000] | Samuel L. Abreu, Sergio Colle, Anand P. Almeida, Sylvio L. M. Neto Qualificação e Recuperação de Dados de Radiação Solar Medidos em Florianópolis – SC 8th Brazilian Congress of Thermal Engineering and Sciences Porto Alegre, Brazil, 2000 |
| [Canizes, 2011] | Bruno Canizes, Zita Vale, João Soares, Hussein Khodr Fuzzy Monte Carlo Mathematical Model for Load Curtailment Minimization in Transmission Power Systems 17th Power Systems Computation Conference (PSCC 2011) Stockholm, Sweden August 22 – 26, 2011 http://hdl.handle.net/10400.22/1422 |
| [Canizes, 2012] | Bruno Canizes, João Soares, Zita Vale, Hussein Khodr Hybrid Fuzzy Monte Carlo Technique for Reliability Assessment in Transmission Power Systems Energy, vol. 45, no. 1, pp. 1007-1017, September 2012 doi: 10.1016/j.energy.2012.06.049 Accession Number: WOS: 000309243700108 |
| [Canizes, 2015] | Bruno Canizes, Marco Silva, Pedro Faria, Sergio Ramos, Zita Vale Resource Scheduling in Residential Microgrids Considering Energy Selling to External Players Clemson University Power Systems Conference 2015 (PSC 2015), Madren Conference Center Clemson, South Carolina, USA 10-13 March, 2015 doi: 10.1109/PSC.2015.7101700 |
| [Fernandes, 2013] | Filipe Fernandes, Hugo Morais, Pedro Faria, Zita Vale, Carlos Ramos SCADA House Intelligent Management for Energy Efficiency Analysis in Domestic Consumers 2013 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America 2013) São Paulo, Brazil 15-17 April, 2013 doi: 10.1109/ISGT-LA.2013.6554494 |
| [Fernandes, 2016] | Filipe Fernandes, Hugo Morais, Valdomiro V. Garcia, Luis Gomes, Zita Vale and Nelson Kagan Dynamic loads and micro-generation method for a House Management System 2016 Clemson University Power Systems Conference (PSC) Clemson, SC, USA, 2016 doi: 10.1109/PSC.2016.7462829 |
| [Gomes, 2015] | Luis Gomes, Filipe Fernandes, Pedro Faria, Marco Silva, Zita Vale, Carlos Ramos Contextual and Environmental Awareness Laboratory for Energy Consumption Management Clemson University Power Systems Conference 2015 (PSC 2015), Madren Conference Center Clemson, South Carolina, USA 10-13 March, 2015 doi: 10.1109/PSC.2015.7101678 |
| [Pinto, 2012] | Tiago Pinto, João Soares, Sérgio Ramos, Zita Vale Very Short-term Wind Forecasting to Support VPP Operation 11th Wind Integration Workshop Lisbon, Portugal 12-13 November 2012 |
| [Pinto, 2014] | Tiago Pinto, Sergio Ramos, Tiago Sousa, Zita Vale Short-term Wind Speed Forecasting using Support Vector Machines IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) Orland, Florida, USA 9-12 December 2014 |
| [Ramos, 2011] | Sérgio Ramos, J. P. Soares, Zita Vale, Hugo Morais A data-mining-based methodology for wind forecasting ISAP 2011 – 16th International Conference on Intelligent System Application to Power Systems, IEEE Hersonissos, Crete, Greece 25-28 September 2011 |
| [Ramos, 2012a] | Sérgio Ramos, Sónia F. Pinto, João J. Santana Development of a Solar Cell Model Using PSCAD 2nd International Workshop on Integration of Solar Power into Power Systems 12-13 November 2012 |
| [Ramos, 2012b] | Sérgio Ramos, Marco Silva, Filipe Fernandes, Zita Valea Modelling Real Solar Cell using PSCAD/MATLAB 2nd International of Solar Power into Power Systems (SIW12) Lisboa, Portugal, 13-15 November, 2012 http://hdl.handle.net/10400.22/1441 |
| [Ramos, 2013] | Sérgio Ramos, João Soares, Tiago Pinto, Zita Vale Short-term Wind Forecasting to Support Virtual Power Player Operation EWEA Annual Event 2013 (EWEA 2013) Vienna, Austria, 4-7 Fevereiro, 2013 |
| [Soares, 2013a] | João Soares, Zita Vale, Bruno Canizes, Hugo Morais Multi-objective Parallel Particle Swarm Optimization for Day-ahead Vehicle-To-Grid Scheduling CIASG 2013 – Computational Intelligence Applications in Smart Grid (CIASG) at the IEEE SSCI 2013 (IEEE Symposium Series on Computational Intelligence) Singapura, 15-19 Abril, 2013 doi: 10.1109/CIASG.2013.6611510 |
| [Soares, 2013b] | João Soares, Zita Vale, Hugo Morais Decision support tool for Virtual Power Players: Hybrid Particle Swarm Optimization applied to Day-ahead Vehicle-To-Grid Scheduling ISAP 2013 – 17th International Conference on Intelligent System Applications to Power Systems Tóquio, Japão, 01-04 Julho, 2013 |
| [Spavieri, 2017] | Guilherme Spavieri, Ricardo T.M. Ferreira, Ricardo A.S. Fernandes, Guilherme G. Lage, Daniel Barbosa, Mário Oleskovicz Particle Swarm Optimization-based approach for parameterization of power capacitor models fed by harmonic voltages Applied Soft Computing, vol. 56, pp. 55 – 64, Julho, 2017 doi: 10.1016/j.asoc.2017.02.017 |