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  • RISE Research Institutes of Sweden
  • Stockholm

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  1. Load-disaggregation Load-disaggregation Public

    Unsupervised learning model to disaggregate building HVAC heating and cooling load (time series) from the total building electricity load

    Jupyter Notebook 1

  2. HiReSoLo HiReSoLo Public

    High-Resolution GIS Heat Source-Load Mapping

    HTML

  3. LESIA-load-clustering-tool LESIA-load-clustering-tool Public

    A tool that can automatically take in a building's electricity consumption data and perform electricity load profile clustering analysis

    Jupyter Notebook

  4. TESpy TESpy Public

    Forked from oemof/tespy

    Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps.

    Python

  5. CityEnergyAnalyst CityEnergyAnalyst Public

    Forked from architecture-building-systems/CityEnergyAnalyst

    The City Energy Analyst (CEA)

    Python