Alternatives and similar repositories for Host-Load-Prediction-with-LSTM:

Users that are interested in Host-Load-Prediction-with-LSTM are comparing it to the libraries listed below

• Mark-THU / load-point-forecast
  load point forecast
  ☆13Updated 2 years ago
• Yifeng-He / Electric-Power-Hourly-Load-Forecasting-using-Recurrent-Neural-Networks
  This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural n…
  ☆76Updated 7 years ago
• kushwahavishal646 / Load-Forecasting-using-Different-Deep-Learning-Architectures
  this project is to implement different deep learning architectures and evaluate them based on their performance on the hour-ahead electri…
  ☆25Updated 3 years ago
• thangbk2209 / LSTM_GoogleClusterTraceData
  ☆12Updated 7 years ago
• zulfiqarahmadkhan / Electricity-Load-Prediction-Using-CNN-LSTM-autoencoder
  ☆12Updated 3 years ago
• UAEUniversity / CIT_LSTM_TimeSeries
  LSTM Model for Electric Load Forecasting
  ☆45Updated 6 years ago
• shivaniarbat / wgan-gp-transformer
  Implementation of our paper "Wasserstein Adversarial Transformer for Cloud Workload Prediction"
  ☆31Updated 3 years ago
• Pradyoth-Rao / Short-term-load-forecasting
  Short term electrical load forecasting using various machine learning techniques
  ☆25Updated 5 years ago
• CallmeQuant / TCN-GCN-Time-Series-Approach
  ☆13Updated last year
• oubahe / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆16Updated 3 years ago
• ivky03 / Wind-Power-Forecasting-using-Ensemble-Learning
  An accurate and reliable wind power forecasting model that can handle the variability and uncertainty of the wind resource. An ensemble …
  ☆10Updated last year
• qcha41 / wind-power-forecasting-challenge
  Wind Power forecasting for the day-ahead energy market - Data Challenge
  ☆30Updated 3 years ago
• CN-UPB / ml-traffic-prediction
  LSTM and ARIMA for network traffic prediction (Christoph Kaiser's MA)
  ☆37Updated 4 years ago
• chennnnnyize-zz / Scenario-Forecasts-GAN
  Research code
  ☆20Updated 5 years ago
• spanwich / PSO-FTS
  MATLAB Implementation of "Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques"
  ☆13Updated 5 years ago
• Vu5e / JobFailurePredictionGoogleTraces2019
  By learning and using prediction for failures, it is one of the important steps to improve the reliability of the cloud computing system.…
  ☆12Updated last year
• YuanSiping / Short-Term-Load-Forecasting-for-Electric-Power-Systems
  ☆62Updated 3 years ago
• Varat7v2 / STLF-BiLSTM-CNNBiLSTM
  Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
  ☆29Updated last year
• sudatta0993 / Dynamic-Congestion-Prediction
  Algorithms for prediction of congestion from Network State
  ☆16Updated 4 years ago
• fbohu / Deep-Spatio-Temporal-Forecasting-of-Electrical-Vehicle-Charging-Demand
  ☆41Updated 3 years ago
• yakouyang / Multilevel_Wavelet_Decomposition_Network_Pytorch
  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
  ☆99Updated 6 years ago
• zhangxu0307 / time-series-forecasting-keras
  time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
  ☆116Updated 5 years ago
• slaweks17 / ES-adRNN
  Short Term Load Forecasting with ES-adRNN
  ☆16Updated 2 years ago
• yunfei1218 / LSTM-Attention
  使用LSTM预测回归问题，使用注意力机制自动提取特征的重要程度。Using LSTM to predict regression problems, Attention mechanism is used to automatically extract the impor…
  ☆18Updated 4 years ago
• hilariouss / LSTM_VST_PVGF
  Multi-scale LSTM based hourly Photovoltaic (PV) power generation forecasting
  ☆36Updated 6 years ago
• aleksei-mashlakov / multivariate-deep-learning
  This repository contains the source code utilised for the paper: "Assessing the performance of deep learning models for multivariate pro…
  ☆24Updated 3 years ago
• Sanyam-Mehta / TPA-LSTM-PyTorch
  This is the PyTorch implementation of TPA-LSTM
  ☆58Updated 5 years ago
• epishova / Neural-Networks-for-time-series-analysis
  Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis
  ☆42Updated 6 years ago
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆67Updated 7 years ago