Contains aggregated power outage data by ZIP Code. Limited historical record inventory. Designed for and consumed by the MEMA Power Outage web application.

Contains aggregated power outage data by Zip Code. Limited historical record inventory. Designed for and consumed by the Maryland Emergency Management Agency (MEMA) Power Outage web application. The Maryland Department of Information Technology updates this dataset approximately every 15 minutes. Oak Ridge National Laboratory harvests the first 500 records from the the dataset every 30 minutes and is ordered by the date-stamp, allowing for better data discovery purposes.

The power outages in this layer are pulled directly from the utility public power outage maps and is automatically updated every 15 minutes. This dataset represents only the most recent power outages and does not contain any historical data. The following utility companies are included:Pacific Gas and Electric (PG&E)Southern California Edison (SCE)San Diego Gas and Electric (SDG&E)Sacramento Municipal Utility District (SMUD)Layers included in this dataset:Power Outage Incidents - Point layer that shows data from all of the utilities and is best for showing a general location of the outage and driving any numbers in dashboards.Power Outage Areas - Polygon layer that shows rough power outage areas from PG&E only (They are the only company that feeds this out publicly). With in the PG&E territory this layer is useful to show the general area out of power. The accuracy is limited by how the areas are drawn, but is it good for a visual of the impacted area.Power Outages by County - This layer summaries the total impacted customers by county. This layer is good for showing where outages are on a statewide scale. If you have any questions about this dataset please email GIS@caloes.ca.gov

Contains aggregated power outage data by County. Limited historical record inventory. Designed for and consumed by the MEMA Power Outage web application.

Power Outage Incidents

Introduction This dataset is a feed from UK Power Networks' Distribution Network Management System - ADMS, showing near real time power cut (fault) data. It includes planned and unplanned power cuts. Users will be able to consume live fault data via API.

Methodological Approach

  Data Extraction: Fault data is queried from our PowerOn system.
  Data Cleaning: Any fault which contains five or less customers, and can not be aggregated have been omitted.
  Geopoint Creation: These are created from aggregated post code data to protect individual customer privacy. 

Quality Control Statement The data is provided "as is".

Assurance Statement The Open Data team has checked the data against source to ensure data accuracy and consistency. The data domain owners have checked their respective data aspects.

Other

Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

Scheduled energy interruptions aggregated by postal code.1. The information made available by E-REDES constitutes an approximation to the values taken from the system and is based on the moment in which it is collected. Given that the connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is safeguarded that the information made available may be subject to subsequent changes and updates, with the exception of any omissions and/or occasional inaccuracies of location that the information may contain.2. In this way, E-REDES is not liable to third parties, namely, partners, service providers, contractors, users and customers, for damages that may arise as a result, direct or indirect, of the use of this Information, in particular when carrying out interventions, calculations and/or estimates, without confirming the accuracy and updating of the data, whereby it is duly noted that the consultation of this information does not affect the duty to promote a direct consultation with E-REDES in order to obtain updated information.The data provided by the E-REDES Open Data Portal is covered by open licenses (CC BY 4.0). There are no restrictions on access, under the commitment that data users cite the publisher. Therefore, we suggest that you cite the Open Data E-REDES Portal as:E-REDES – Distribuição de Eletricidade, “E-REDES Open Data Portal”. Accessed in “Data”. [Online] Available at https://e-redes.opendatasoft.com/pages/homepage/If you share on social media, please add #PortalOpenData_E_REDES

DescriptionOctober 23, 2025In a few weeks, the open data on outages and planned service interruptions will only be available through a secure connection (HTTPS). This change is meant to enhance the security and integrity of the information provided.Update your solution to continue accessing the data. If you have any questions, write to the open data team.

                                Current outages. Hydro-Québec dataset that provides, in real time for each ongoing outage, the following information: 



                                       the geographical location of the outage ; 

                                       the number of customers without electricity ; 

                                       the outage start time ; 

                                       the cause of the outage, when known ; 

                                       the estimated service restoration time. 



                                Planned interruptions. Hydro-Québec dataset that provides the scheduled power interruptions in the coming days and, for each of them, the following information: 



                                       the geographical location of the planned interruption ; 

                                       the number of affected customers ; 

                                       the start and expected restoration dates and times. 















                                Files or services 

                                Access to open data is made through queries to an API (for application programming interface). For more information on the topic, see the Données Québec website. 













                                Current outages − API mode

                                This mode requires the use of three REST-type URLs.



                                       First request: get the latest BIS file version (“time stamp”) 



                                              Click the URL below.

                                              https://pannes.hydroquebec.com/pannes/donnees/v3_0/bisversion.json 

                                              This provides the Service Interruption Report (BIS) file number.

                                              Example number: "20180418084019".





                                       Second request: get a JSON file containing the list of outages.



                                              Append the obtained file number from the previous request to the end of the following URL.

                                              URL : https://pannes.hydroquebec.com/pannes/donnees/v3_0/bismarkers{BIS_VERSION}.json

                                       Example :https://pannes.hydroquebec.com/pannes/donnees/v3_0/bismarkers20180418084019.json 

                                              The outage list specifies the outage date, the expected service restoration time, and the geographical coordinates (latitude and longitude) of the affected area.

                                              Data excerpt associated with an outage: 



                                                     { "messages": {}, "pannes": [

                                                     [ 2, "2018-04-19 10:13:03", "2018-04-19 11:15:00", "P", "[-74.03666800098304, 45.63760774828376]", "L", "4", "44", "9001", "" ], 

                                                     [ 1, "2018-04-19 08:24:30", "2018-04-19 12:15:00", "P", "[-70.69765492300203, 46.50093403672063]", "L", "4", "44", "7509", "" ], 





                                              Data interpretation 

                                              messages: communication messages 

                                              pannes: number of customers affected by the outage 

                                              YYYY-MM-DD HH:MM:SS: outage start date and time 

                                              YYYY-MM-DD HH:MM:SS: planned outage end date and estimated end time 

                                              P: outage 

                                              [-73.00751272875362, 46.19771470407507]: coordinates of the outage area 



                                              Status data associated with the outage

                                              A: work assigned 

                                              L: crew at work 

                                              R: crew en route 

                                              "defaut": "" 



                                              Unused data to ignore

                                              4



                                              Data associated with the cause of the outage

                                              11, 12, 13, 14,15, 58, 70, 72, 73, 74, 79 or defaut: equipment failure

                                              21, 22, 24, 25 or 26: weather conditions 

                                              31, 32, 33, 34, 41, 42, 43, 44, 54, 55, 56 or 57: accident or incident

                                              51: vegetation damage 

                                              52 or 53: animal damage 

                                              1111: identifier of the affected municipality

                                              "(number)": outage message ID





                                       Third request: download a KMZ file that provides the list of polygons representing outage sectors (approximate).



                                              Append the obtained file number from the first request to the following URL. 

                                              URL : https://pannes.hydroquebec.com/pannes/donnees/v3_0/bispoly{BIS_VERSION}.kmz

                                              Example: 

                                       https://pannes.hydroquebec.com/pannes/donnees/v3_0/bispoly20180418084019.kmz

                                              Once the KMZ file is