Alternatives and similar repositories for electricity-theft-detection-with-self-attention

Users that are interested in electricity-theft-detection-with-self-attention are comparing it to the libraries listed below

• henryRDlab / ElectricityTheftDetection
  Electricity-Theft Detection in Smart Grids
  ☆95Updated 6 years ago
• 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
• yalickj / load-forecasting-resnet
  short-term load forecasting with deep residual networks
  ☆97Updated 4 years ago
• LauJohansson / AnomalyDetection_VAE_LSTM
  ☆34Updated 3 years ago
• ChristoferNal / multi-nilm
  Multi-NILM: Multi Label Non Intrusive Load Monitoring
  ☆68Updated 5 years ago
• mehak25 / BiGAN
  ☆13Updated 4 years ago
• zulfiqarahmadkhan / Electricity-Load-Prediction-Using-CNN-LSTM-autoencoder
  ☆13Updated 4 years ago
• pyae-pyae-phyo / Short-term-electricity-load-forecasting-using-long-short-term-memory
  ☆18Updated 7 years ago
• zjunet / HEBR
  Hierarchical Electricity-theft Behavior Recognition
  ☆21Updated 5 years ago
• oneday88 / deepTCN
  ☆158Updated 3 years ago
• LongxingTan / KDDCup2022-WPF
  3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting
  ☆129Updated last year
• IvanBongiorni / GAN-RNN_Timeseries-imputation
  Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
  ☆174Updated 2 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆184Updated 2 years ago
• bhpfelix / PyTorch-Time-Series-Classification-Benchmarks
  Time Series Classification Benchmark with LSTM, VGG, ResNet
  ☆60Updated 7 years ago
• LiDan456 / GAN-AD
  We used generative adversarial networks (GANs) to do anomaly detection for time series data.
  ☆149Updated 6 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆178Updated 10 months ago
• zzw-zwzhang / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆64Updated 3 years ago
• Sanyam-Mehta / TPA-LSTM-PyTorch
  This is the PyTorch implementation of TPA-LSTM
  ☆61Updated 5 years ago
• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆89Updated 3 years ago
• akyadav26 / Time-Series-Forecast-with-Deep-Hybrid-Architecture
  Multivariate time-series forecasting with LSTNET and soft-DTW loss
  ☆30Updated 5 years ago
• EsmeYi / time-series-forcasting
  Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
  ☆51Updated 6 years ago
• lpphd / multivariate-attention-tcn
  ☆97Updated 2 years ago
• xbfu / Spatiotemporal-Attention-Networks
  Spatiotemporal Attention Networks for Wind Power Forecasting
  ☆76Updated 5 years ago
• PatientEz / keras-attention-mechanism
  the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rath…
  ☆78Updated last year
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆39Updated 4 years ago
• ZhouYuxuanYX / Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-
  Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…
  ☆127Updated 2 years ago
• YuanSiping / Short-Term-Load-Forecasting-for-Electric-Power-Systems
  ☆65Updated 4 years ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆125Updated 6 years ago
• OrigamiSL / TCCT2021
  Convolutional Transformer Architectures Complementary to Time Series Forecasting Transformer Models
  ☆50Updated 3 years ago
• cdzhang / wind_power_forecast
  wind_power_forecast
  ☆37Updated 3 years ago