Non-Intrusive Load Monitoring Toolkit (nilmtk)
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Updated
Jun 30, 2025 - Python
Non-Intrusive Load Monitoring Toolkit (nilmtk)
Meteorology Simulator
DINOMO: An Elastic, Scalable, High-Performance Key-Value Store for Disaggregated Persistent Memory (PVLDB 2022, VLDB 2023)
Code for "Data efficient energy disaggregation with behind-the-meter energy resources."
Open Source project to disaggregation energy consumption profiles from meter data
Simple DSMR P1 logger that work with USB cable and sqlite datebase
This dataset imbalance visualization toolkit will be the beginning of a fire-new branch in NILM studies. (the website is pending)
Scheduler simulator for disaggregated architectures
NILM-Sys focuses on optimizing energy consumption in buildings through Non-Intrusive Load Monitoring (NILM). By leveraging advanced neural network architectures, the system disaggregates aggregate power data to estimate the power usage of individual appliances, contributing to climate change mitigation by enhancing energy efficiency in building
Performs areal interpolation/ spatial disaggregation with point data (0-D) as ancillary information. It has been used to create ambient population models.
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