Downloads provided by UsageCounts
For processed data files more suitable for use, please refer to the GoiEner Smart Meters Data dataset: DOI 10.5281/zenodo.7362094 The GoiEner Raw Files dataset contains a complete set of raw data from the customer database of the Spanish renewable energy cooperative GoiEner, obtained from smart meters. Founded in the Basque Country in 2012, GoiEner has made available this extensive dataset, which includes the raw electricity consumption data (and self-generation) for all its customers. The supply points provided comprise a diverse range of customers, such as households, offices, small and medium-sized enterprises (SMEs), industrial buildings, and public facilities. This dataset spans the entire period from the first records using smart meters in late 2014 until June 2022. It consists of 71,048 files containing information on consumption, generation, contracted power, pricing, and other related data for each supply point in the grid. These files serve as the primary source for managing electricity supply contracts between distributors and retailers, as well as for user billing. The formats and specifications of the files adhere to the guidelines set by the Spanish electricity market regulator, the National Commission of Markets and Competition (CNMC), which establishes the Electricity Metering Information System (SIMEL).
Acknowledgements: These data have been collected within the framework of the WHY project. This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 891943.
energy consumption, households, spain, smart meters, simel files, time series, raw data, load profiles
energy consumption, households, spain, smart meters, simel files, time series, raw data, load profiles
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 26 | |
| downloads | 2 |

Views provided by UsageCounts
Downloads provided by UsageCounts