Contributors: Christoph Klemenjak
Name: Christoph Klemenjak
Login: https://github.com/
Email: [email protected]
OST Projects: 1
Languages: Python
Categories: Consumption
Sub Categories: Buildings and Heating
Topics: disaggregation, energy-disaggregation, nilm, nilm-algorithms, nilmtk, datasets-simulation, energy-consumption, non-intrusive-load-monitoring, basil, gardening, herbs, raspberry-pi-camera, smart-garden, energy-efficiency, open-hardware-electronics, raspberrypi, smartmeter, smartmetering, awesome-lists, appliance-models, synthetic-data, user-modeling, user-models, generalisation, overfitting, transferability, papers-collection, papers-with-code, reproducible-paper, scholarship, source-code, comparability, research-paper
Contributed Projects
NILM
Non-Intrusive Load Monitoring is the process of estimating the energy consumed by individual appliances given just a whole-house power meter reading.
algorithms disaggregation energy energy-disaggregation forecasting ipython-notebook nilm nilm-algorithms nilmtk python
Consumption - Buildings and Heating - Last synced: 28 Apr 2025 - Ranking: 15.9
