Alternatives and similar repositories for Federated-learning-based-prediction

Users that are interested in Federated-learning-based-prediction are comparing it to the libraries listed below

• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆11Updated 7 years ago
• GustavoHFMO / IDPSO-ELM-S
  Algorithms proposed in the following paper: OLIVEIRA, Gustavo HFMO et al. Time series forecasting in the presence of concept drift: A pso…
  ☆12Updated 3 years ago
• fbohu / Deep-Spatio-Temporal-Forecasting-of-Electrical-Vehicle-Charging-Demand
  ☆44Updated 4 years ago
• slaweks17 / ES-adRNN
  Short Term Load Forecasting with ES-adRNN
  ☆17Updated 2 years ago
• rohitash-chandra / CMTL_dynamictimeseries
  Coevolutionary Multi-task learning for Dynamic Time Series prediction
  ☆15Updated 4 years ago
• fanxingliu2020 / FedTADBench
  ☆21Updated 2 years ago
• vperifan / Federated-Time-Series-Forecasting
  Federated Learning for 5G Base Station Traffic Forecasting
  ☆61Updated 2 months ago
• AlexElvers / stplfcnn
  Short-Term Probabilistic Load Forecasting at Low Aggregation Levels Using Convolutional Neural Networks
  ☆10Updated 5 years ago
• RainbowPillow / federatedlearning_daily
  ☆9Updated 2 years ago
• shengchaochen82 / MetePFL
  [IJCAI'23] Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.
  ☆14Updated 9 months ago
• austnbell / energyDemand
  GNNs and Benchmarks for Node-level Load Forecasting
  ☆16Updated 5 years ago
• MachineLearningBCAM / Load-forecasting-IEEE-TPWRS-2020
  Probabilistic Load Forecasting Based on Adaptive Online Learning (APLF)
  ☆62Updated last year
• hit-mdc / FedTSC-FedST
  ☆11Updated last year
• ki-ljl / CNN-Load-Forecasting
  Implementation of Electric Load Forecasting Based on CNN.
  ☆23Updated 3 years ago
• JonasSievers / Transformer-based-Federated-Learning-for-Load-Forecasting
  Source code for our ICCEP paper "Secure short-term load forecasting for smart grids with transformer-based federated learning".
  ☆14Updated last year
• RomainLITUD / Multistep-Traffic-Forecasting-by-Dynamic-Graph-Convolution
  Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations
  ☆16Updated last year
• husnejahan / Temporal-CNN
  Probabilistic Forecasting with Temporal Convolutional Neural Network
  ☆11Updated 5 years ago
• mahnoor-shahid / nilm_analyzer
  Simple, fast and handy data loaders for NILM datasets to explore the data at convenience, provided with basic transformations like resamp…
  ☆38Updated 8 months ago
• MinseungKo / DRNet
  Codes for "Deep Concatenated Residual Network with Bidirectional LSTM for Short-term Wind Power Forecasting" by Min-seung Ko
  ☆31Updated 4 years ago
• sarajcev / PSS-ML2
  Machine learning for power system transient stability assessment
  ☆16Updated 3 years ago
• DFrolova / ml-sk-project
  This repository contains all necessary scripts for project of team 8
  ☆23Updated 3 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 6 years ago
• wptoux / power-cnn
  Multi-Channel Deep Convolutional Networks With Shared Weight Layers for Power System Transient Stability Assessment
  ☆21Updated 7 years ago
• ChongAih / Probabilistic-Load-Forecasting-with-Quantile-Regression
  Comparison study of GB, XGB, LGBM and NN's performance in probabilistic load forecasting
  ☆25Updated 5 years ago
• zulfiqarahmadkhan / Electricity-Load-Prediction-Using-CNN-LSTM-autoencoder
  ☆13Updated 4 years ago
• DimasDMM / time-series-classification
  Binary Time Series Classification using two different approaches: LSTM with Dropout and LSTM with Attention.
  ☆13Updated 5 years ago
• luokn / matgcn
  Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting
  ☆17Updated 2 years ago
• mehak25 / BiGAN
  ☆13Updated 3 years ago
• yalickj / load-forecasting-resnet
  short-term load forecasting with deep residual networks
  ☆97Updated 4 years ago
• RichardFindlay / day-ahead-probablistic-forecasting-with-quantile-regression
  Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneou…
  ☆38Updated 2 years ago