non-intrusive-load-monitoring

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

Non-Intrusive Load Monitoring (NILM) for Home Assistant. Estimate appliance activity and energy usage from a whole-home power sensor, all locally.

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

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

A Synthetic Energy Consumption Dataset for Non-Intrusive Load Monitoring

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.

Mixed-Integer Nonlinear Programming for NILM

Supplemental material on comparability and performance evaluation in NILM

Non-Intrusive Load Monitoring Device

Metrics to assess the generalisation ability of NILM algorithms

Inverse Decomposition of Energy Consumption (NILM)

GREMLIN — GReen Energy Monitoring for Large INfrastructures

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

Bidgely — independent third-party profile of a public API surface, by API Evangelist. Bidgely is a Mountain View, California energy analytics company that builds AI software for electric and gas utilities. Its flagship platform, UtilityAI, applies patented non-intrusive load monitoring (NILM) and disaggregation techniques to smart meter interval da

Zero-hardware energy intelligence for SMEs. EcoSense AI uses Non-Intrusive Load Monitoring (NILM) to disaggregate smart meter data into appliance-level insights — anomaly alerts, cost-saving recommendations, and a 13-month usage baseline without any additional hardware.