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
• zulfiqarahmadkhan / Electricity-Load-Prediction-Using-CNN-LSTM-autoencoder
  ☆13Updated 4 years ago
• neuralmind-ai / electricity-theft-detection-with-self-attention
  Electricity theft detection using Self-Attention mechanisms
  ☆33Updated 5 years ago
• ki-ljl / CNN-Load-Forecasting
  Implementation of Electric Load Forecasting Based on CNN.
  ☆23Updated 3 years ago
• wsyCUHK / WSYCUHK_FDIA
  Locational Detection of False Data Injection Attack in Smart Grid: a Multi-label Classification Approach
  ☆89Updated 2 years ago
• mile888 / anomaly_identification
  ML framework for anomaly detection in the state estimation of the power system
  ☆22Updated 2 years ago
• 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
• pyae-pyae-phyo / Short-term-electricity-load-forecasting-using-long-short-term-memory
  ☆18Updated 7 years ago
• MachineLearningBCAM / Load-forecasting-IEEE-TPWRS-2020
  Probabilistic Load Forecasting Based on Adaptive Online Learning (APLF)
  ☆62Updated last year
• 7fantasysz / MSCRED
  Multi-Scale Convolutional Recurrent Encoder-Decoder
  ☆147Updated 5 years ago
• yaozhian / Multi-feature-power-load-forecasting-based-on-deep-learning
  基于深度学习的多特征电力负荷预测
  ☆141Updated 5 years ago
• zackchen-lb / GTA
  Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
  ☆144Updated 3 years ago
• gcsarker / XTM
  False Data Injection Attack Detection in Smart Grid
  ☆20Updated 2 years ago
• zhhlee / InterFusion
  KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
  ☆224Updated 3 years ago
• arunppsg / TadGAN
  Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
  ☆173Updated 3 years ago
• manastahir / Short-Term-Load-Forecasting
  code for the paper https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9467267
  ☆28Updated 4 years ago
• dependable-cps / FDIA-PdM
  False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
  ☆47Updated 4 years ago
• yalickj / load-forecasting-resnet
  short-term load forecasting with deep residual networks
  ☆97Updated 4 years ago
• Jithsaavvy / Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-project
  This research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and pro…
  ☆29Updated 3 years ago
• spencerbraun / anomaly_transformer_pytorch
  PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
  ☆245Updated 2 years ago
• ki-ljl / LSTM-Load-Forecasting
  Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep f…
  ☆248Updated 3 years ago
• tombax7 / FLITC-application
  A data-driven deep learning based fault diagnosis application for radial, active distribution grids
  ☆25Updated 2 years ago
• wptoux / power-cnn
  Multi-Channel Deep Convolutional Networks With Shared Weight Layers for Power System Transient Stability Assessment
  ☆21Updated 7 years ago
• LongxingTan / KDDCup2022-WPF
  3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting
  ☆129Updated last year
• Jhryu30 / AnomalyBERT
  ☆153Updated last year
• vincrichard / LSTM-AutoEncoder-Unsupervised-Anomaly-Detection
  University Project for Anomaly Detection on Time Series data
  ☆108Updated last year
• afshinfaramarzi / Energy-Demand-electricity-price-Forecasting
  Electricity price (energy demand) forecasting using different ML, DL, stacked DL and hybrid methods (XGBoost, GRU, LSTM, CNN, CNN-LSTM, L…
  ☆49Updated 2 years ago
• intelligence-csd-auth-gr / greek-solar-wind-energy-forecasting
  Repository hosting the code and dataset of the project titled "Short-term Renewable Energy Forecasting in Greece using Prophet Decomposit…
  ☆24Updated 3 years ago
• manigalati / usad
  ☆243Updated last year
• eBay / RANSynCoders
  ☆94Updated 2 years ago