nilm-algorithms

There are 21 repositories under nilm-algorithms topic.

  • nilmtk/nilmtk

    Non-Intrusive Load Monitoring Toolkit (nilmtk)

    Language:Python88565874482

  • zhgqcn/awesome-NILM-with-code

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

    1163023

  • smakonin/SparseNILM

    The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source code that was use for my IEEE Transactions on Smart Grid journal paper.

    Language:Python889042

  • 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 proposed.

    Language:Python47357

  • UCA-Datalab/nilm-thresholding

    :warning: This repository is no longer actively maintained. It previously dealt with Non-Intrusive Load Monitoring (NILM), focusing on predicting household appliance status from aggregated power load data. We explored different thresholding methods and evaluated deep learning models for regression and classification tasks.

    Language:Python390115

  • LucasNolasco/DeepDFML-NILM

    A new CNN architecture to perform detection, feature extraction, and multi-label classification of loads, in non-intrusive load monitoring (NILM) approaches, with a single model for high-frequency signals.

    Language:Jupyter Notebook37225

  • maechler/nnilm

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

    Language:Python36266

  • 18D070001/Electrical-Devices-Identification-Model

    Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profiles.

    Language:Jupyter Notebook24213

  • mukkla/LowFreq_DNN-NILM

    Overview of research papers with focus on low frequency NILM employing DNNs

    23314

  • LucasNolasco/ST-NILM

    ST-NILM is a new integrated architecture based on the Scattering Transform. It has a DCN (Deep Convolutional Network) with analytical wavelet-based non-trained weights, shared with fully connected output networks that perform event detection and multi-label classification of aggregate loads.

    Language:Jupyter Notebook11200

  • compsust/ALIP_NILM

    An aided linear integer programming (ALIP) non-intrusive load monitoring (NILM) algorithm.

    Language:Matlab10214

  • smakonin/NILM_PerformanceEval

    NILM performance evaluation functions use in the Springer Energy Efficiency journal paper.

    Language:Python9100

  • compsust/KP-NILM

    Supervised NILM using multiple-choice knapsack problem (MCKP).

    Language:Python6416

  • danctorres/nilm_industry

    Master's Dissertation: Unsupervised Low-Frequency NILM for Industrial Loads

    Language:MATLAB21180

  • klemenjak/antgen

    The AMBAL-based NILM Trace generator (for NILMTK)

    Language:Python1000

  • rgtzths/NILM_Transfer_Learning

    This repository is the code basis for the paper titled "Using Deep Learning and Knowledge Transfer to Disaggregate Energy Consumption"

    Language:Python1100

  • compsust/DCAE

    Disaggregated Component Assignation Error

    Language:Python00

  • compsust/WaveNILM

    WaveNILM as published at ICASSP 2019

    Language:Python0000

  • LincWorld/Linc-Datasets

    Complete set of electrical parameters, including energy consumption, power quality, and all harmonic contents (up to 2kHz). Time-synchronous data reported from real buildings and appliances at 1 second intervals.

    0201

  • JackKelly/disaggregation_MSc_code

    The C++ code for my Computing MSc energy disaggregation project

    Language:C++20

  • klemenjak/image-nilm

    Language:Python10