non-intrusive-load-monitoring | Topic

Topic: "non-intrusive-load-monitoring"

klemenjak/nilm-papers-with-code

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

Size: 29.3 KB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 135 - Forks: 25

zhgqcn/awesome-NILM-with-code

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

Size: 8.77 MB - Last synced at: 11 days ago - Pushed at: 6 months ago - Stars: 107 - Forks: 23

ChristoferNal/multi-nilm

Multi-NILM: Multi Label Non Intrusive Load Monitoring

Language: Python - Size: 1 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 58 - Forks: 18

mahnoor-shahid/nilm_analyzer

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.

Language: Python - Size: 95.7 KB - Last synced at: 6 days ago - Pushed at: 7 months ago - Stars: 38 - Forks: 10

maechler/nnilm

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

Language: Python - Size: 1.5 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 34 - Forks: 5

JackBarber98/pruned-nilm

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

Language: Python - Size: 1.16 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 31 - Forks: 11

antoniosudoso/attention-nilm

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

Language: Python - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 30 - Forks: 8

klemenjak/SynD

A Synthetic Energy Consumption Dataset for Non-Intrusive Load Monitoring

Size: 155 KB - Last synced at: 12 months ago - Pushed at: about 5 years ago - Stars: 24 - Forks: 8

klemenjak/comparability

Supplemental material on comparability and performance evaluation in NILM

Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 3

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.

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 0