Alternatives and similar repositories for Energy-Disaggregation

Users that are interested in Energy-Disaggregation are comparing it to the libraries listed below

• nilmtk / nilmtk-contrib
  ☆126Updated this week
• OdysseasKr / neural-disaggregator
  Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
  ☆142Updated 4 years ago
• ch-shin / awesome-nilm
  A curated resources of awesome NILM resources
  ☆202Updated last year
• MingjunZhong / seq2point-nilm
  Sequence-to-point learning for non-intrusive load monitoring
  ☆105Updated 4 years ago
• beckel / nilm-eval
  NILM-EVAL: An evaluation framework for non-intrusive load monitoring algorithms
  ☆116Updated 9 years ago
• OdysseasKr / online-nilm
  Code for the experiments in "Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks"
  ☆62Updated 4 years ago
• nilmtk / nilm_metadata
  A schema for modelling meters, measurements, appliances, buildings etc
  ☆52Updated this week
• JackKelly / neuralnilm_prototype
  ☆54Updated 7 years ago
• areinhardt / antgen
  AMBAL-based NILM Trace generator
  ☆20Updated 2 years ago
• MingjunZhong / transferNILM
  Transfer Learning for Non-Intrusive Load Monitoring
  ☆121Updated 4 years ago
• JackBarber98 / pruned-nilm
  This repo provides four weight pruning algorithms for use in sequence-to-point energy disaggregation as well as three alternative neural …
  ☆40Updated 5 years ago
• smakonin / SparseNILM
  The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source cod…
  ☆89Updated 7 years ago
• klemenjak / nilm-papers-with-code
  An archive for NILM papers with source code and other supplemental material
  ☆137Updated last year
• nilmtk / buildsys2019-paper-notebooks
  ☆23Updated 5 years ago
• antoniosudoso / attention-nilm
  An Attention-based Deep Neural Network for Non-Intrusive Load Monitoring
  ☆44Updated 2 years ago
• ZhangRaymond / Neural-NILM
  An Non-Intrusive Load Disaggregation method based on Neural Network. A sequence-to-sequence model and a sequence-to-point model are propo…
  ☆47Updated 5 years ago
• MingjunZhong / NeuralNetNilm
  Sequence-to-point learning for non-intrusive load monitoring (energy disaggregation)
  ☆73Updated 4 years ago
• inesylla / energy-disaggregation-DL
  ☆59Updated 4 years ago
• klemenjak / SynD
  A Synthetic Energy Consumption Dataset for Non-Intrusive Load Monitoring
  ☆29Updated 5 years ago
• picagrad / WaveNILM
  WaveNILM as published at ICASSP 2019
  ☆33Updated 2 years ago
• Virtsionis / torch-nilm
  ☆43Updated 2 years ago
• mukkla / LowFreq_DNN-NILM
  Overview of research papers with focus on low frequency NILM employing DNNs
  ☆23Updated 2 years ago
• JackKelly / neuralnilm
  Deep Neural Networks Applied to Energy Disaggregation
  ☆157Updated 6 years ago
• anandeshmukh / nilm
  Non intrusive load monitoring using machine learning
  ☆20Updated 7 years ago
• jingkungao / PLAID
  IPython Notebook to explore PLAID dataset
  ☆33Updated 11 months ago
• lmssdd / TPNILM
  Notebook for Temporal Pooling NILM
  ☆19Updated 2 years ago
• Yueeeeeeee / BERT4NILM
  [NILM@SenSys 2020] PyTorch Implementation of BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring
  ☆74Updated 4 years ago
• brunamulinari / V-I_trajectory
  Codes to extract features from the V-I trajectory for the classification step in Non-Intrusive Load Monitoring (NILM) approaches.
  ☆18Updated 3 years ago
• zhgqcn / awesome-NILM-with-code
  A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.
  ☆109Updated 6 months ago
• DLZRMR / seq2subseq
  Seq2subseq method for NILM
  ☆43Updated 5 years ago