tbrumue/heapo
HEAPO – An Open Dataset for Heat Pump Optimization with Smart Electricity Meter Data and On-Site Inspection Protocols
This project provides an open dataset to help improve the efficiency of residential heat pumps. It combines detailed electricity consumption data from smart meters with on-site inspection findings and local weather information. Energy consultants, building managers, and urban planners can use this data to identify common inefficiencies and develop strategies for better heat pump performance.
No commits in the last 6 months.
Use this if you are researching ways to optimize heat pump energy consumption, develop predictive maintenance models, or analyze demand-side management strategies in residential buildings.
Not ideal if you need a real-time monitoring solution for individual heat pumps or are looking for a tool that directly controls heat pump operations.
Stars
13
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 26, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/tbrumue/heapo"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
FlexMeasures/flexmeasures
The intelligent & developer-friendly EMS to support real-time energy flexibility apps, rapidly...
ml-energy/zeus
Measure and optimize the energy consumption of your AI applications!
pyaf/load_forecasting
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
saizk/Deep-Learning-for-Solar-Panel-Recognition
CNN models for Solar Panel Detection and Segmentation in Aerial Images.
FateMurphy/CEEMDAN_LSTM
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD...