An archive for NILM papers with source code and other supplemental material

A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.

Multi-NILM: Multi Label Non Intrusive Load Monitoring

An Attention-based Deep Neural Network for Non-Intrusive Load Monitoring

A reimplementation of Jack Kelly's rectangles neural network architecture based on Keras and the NILMToolkit.

This repo provides four weight pruning algorithms for use in sequence-to-point energy disaggregation as well as three alternative neural network architectures.

Simple, fast and handy data loaders for NILM datasets to explore the data at convenience, provided with basic transformations like resampling, normalization and extract activities by thresholding.

A Synthetic Energy Consumption Dataset for Non-Intrusive Load Monitoring

Mixed-Integer Nonlinear Programming for NILM

Easy to implement and customize an end-to-end machine learning pipeline for training the archiecture of seq2point model for energy disaggregation. Run experiments and analyze training procedures or models with ease.

Supplemental material on comparability and performance evaluation in NILM

Metrics to assess the generalisation ability of NILM algorithms

Non-Intrusive Load Monitoring Device

Inverse Decomposition of Energy Consumption (NILM)

this is the depository for coding to read and represent the dataset CLEMD