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powerley-energybridge-homekit - HomeKit support and Prometheus exporter for the Powerley Energy Bridge (aka AEP Energy Bridge or DTE Energy Bridge)

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HomeKit support and Prometheus exporter for Powerley Energy Bridge devices. These devices are typically provided by power utility companies under their brand names. For instance, AEP Energy Bridge or DTE Energy Bridge.

building-data-genome-project-2 - Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition

  •    Jupyter

The GEPIII sub-set includes hourly data from 2,380 meters from 1,449 buildings that were used in a machine learning competition for long-term prediction with an application to measurement and verification in the building energy analysis domain. This data set can be used to benchmark various statistical learning algorithms and other data science techniques. It can also be used simply as a teaching or learning tool to practice dealing with measured performance data from large numbers of non-residential buildings. The charts below illustrate the breakdown of the buildings according to primary use category and subcategory, industry and subindustry, timezone and meter type. We recommend you download the Anaconda Python Distribution and use Jupyter to get an understanding of the data.

the-building-data-genome-project - A collection of non-residential buildings for performance analysis and algorithm benchmarking

  •    Jupyter

It is an open data set from 507 non-residential buildings that includes hourly whole building electrical meter data for one year. Each of the buildings has meta data such as or area, weather, and primary use type. This data set can be used to benchmark various statistical learning algorithms and other data science techniques. It can also be used simply as a teaching or learning tool to practice dealing with measured performance data from large numbers of non-residential buildings. The charts below illustrate the breakdown of the buildings according to location, building industry, sub-industry, and primary use type. Clayton Miller, Forrest Meggers, The Building Data Genome Project: An open, public data set from non-residential building electrical meters, Energy Procedia, Volume 122, September 2017, Pages 439-444, ISSN 1876-6102, https://doi.org/10.1016/j.egypro.2017.07.400.






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