Alternatives and similar repositories for ElectricityTheftDetection

Users that are interested in ElectricityTheftDetection are comparing it to the libraries listed below

• AbnerYang / TII_Wide-Deep_Electricity_Theft_Detection
  This is the source code of our paper on electricity-theft detection published in TII in the 2017 year.
  ☆36Updated 5 years ago
• neuralmind-ai / electricity-theft-detection-with-self-attention
  Electricity theft detection using Self-Attention mechanisms
  ☆34Updated 5 years ago
• manastahir / Short-Term-Load-Forecasting
  code for the paper https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9467267
  ☆31Updated 4 years ago
• vincrichard / LSTM-AutoEncoder-Unsupervised-Anomaly-Detection
  University Project for Anomaly Detection on Time Series data
  ☆114Updated last year
• Mohammed-Al-Haidary / AI-based-FDI-Countermeasure-for-IoE-Smart-Grids
  The codebase for an AI-Based detection system to detect False Data Injection Attacks (FDIA) – the most sophisticated and damaging attack …
  ☆26Updated 4 years ago
• wsyCUHK / WSYCUHK_FDIA
  Locational Detection of False Data Injection Attack in Smart Grid: a Multi-label Classification Approach
  ☆90Updated 2 years ago
• elisejiuqizhang / TS-AD-Datasets
  Public datasets for time series anomaly detection
  ☆131Updated last month
• eBay / RANSynCoders
  ☆96Updated 2 years ago
• min-gyu-kang / Anomaly_Detection
  MD,LSTM-AE,VAE-MAD-GAN
  ☆31Updated 4 years ago
• LongxingTan / KDDCup2022-WPF
  3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting
  ☆131Updated 2 years ago
• zulfiqarahmadkhan / Electricity-Load-Prediction-Using-CNN-LSTM-autoencoder
  ☆14Updated 4 years ago
• zackchen-lb / GTA
  Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
  ☆145Updated 3 years ago
• spencerbraun / anomaly_transformer_pytorch
  PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
  ☆247Updated 2 years ago
• PyLink88 / Recurrent-Autoencoder
  Recurrent Neural Networks based Autoencoder for Time Series Anomaly Detection
  ☆28Updated 4 years ago
• matanle51 / LSTM_AutoEncoder
  LSTM Auto-Encoder (LSTM-AE) implementation in Pytorch
  ☆91Updated 4 years ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆124Updated 6 years ago
• ki-ljl / CNN-Load-Forecasting
  Implementation of Electric Load Forecasting Based on CNN.
  ☆25Updated 3 years ago
• DAMO-DI-ML / KDD2023-DCdetector
  ☆247Updated 2 years ago
• 7fantasysz / MSCRED
  Multi-Scale Convolutional Recurrent Encoder-Decoder
  ☆147Updated 5 years ago
• manigalati / usad
  Scripts and utility programs for implementing the USAD architecture.
  ☆249Updated last year
• Yu-Lingrui / DTAAD
  Code support as a published paper！
  ☆64Updated last year
• zhhlee / InterFusion
  KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
  ☆232Updated 4 years ago
• arunppsg / TadGAN
  Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
  ☆172Updated 4 years ago
• zamanzadeh / ts-anomaly-benchmark
  Time-Series Anomaly Detection Comprehensive Benchmark
  ☆235Updated last month
• pyae-pyae-phyo / Short-term-electricity-load-forecasting-using-long-short-term-memory
  ☆18Updated 7 years ago
• imperial-qore / TranAD
  [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
  ☆632Updated last year
• cbhua / swat-preprocess
  A tool for data preprocess on iTrust SWaT dataset.
  ☆55Updated 3 years ago
• ki-ljl / LSTM-Load-Forecasting
  Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep f…
  ☆260Updated 3 years ago
• zwzhang123 / TimeGAN-pytorch
  Pytorch implementation of the paper "Time-series Generative Adversarial Networks".
  ☆103Updated 2 years ago
• rqi7 / Unsupervised_Electricity_Theft_Detection
  A Novel Unsupervised Data-Driven Method for Electricity Theft Detection in AMI Using Observer Meters
  ☆14Updated last month