Alternatives and similar repositories for energy-demand-prediction

Users that are interested in energy-demand-prediction are comparing it to the libraries listed below

• husnejahan / Multivariate-Time-series-Analysis-using-LSTM-ARIMA
  Multivariate Time series Analysis Using LSTM & ARIMA
  ☆38Updated 6 years ago
• ChongAih / Probabilistic-Load-Forecasting-with-Quantile-Regression
  Comparison study of GB, XGB, LGBM and NN's performance in probabilistic load forecasting
  ☆27Updated 6 years ago
• takumiw / Time-Series-Demand-Forecasting
  Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.
  ☆32Updated 4 years ago
• Housiadas / forecasting-energy-consumption-LSTM
  Development of a machine learning application for IoT platform to predict electric energy consumption in smart building environment in re…
  ☆49Updated 5 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…
  ☆28Updated 4 years ago
• 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…
  ☆59Updated 2 years ago
• msunil10052 / Multivariate-Time-Series-Forecasting
  Repository for Machine Learning and Deep Learning Models for Multivariate Time Series Forecasting
  ☆19Updated 6 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆185Updated 2 years ago
• balandhanka / Windspeed-Forecasting-LSTM-GRU
  Time series Forecasting of Wind speed based on different deep learning methods LSTM - GRU
  ☆19Updated 4 years ago
• yalickj / load-forecasting-resnet
  short-term load forecasting with deep residual networks
  ☆105Updated 4 years ago
• UAEUniversity / CIT_LSTM_TimeSeries
  LSTM Model for Electric Load Forecasting
  ☆47Updated 7 years ago
• kolasniwash / short-term-energy-demand-forecasting
  Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)
  ☆104Updated 2 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 4 years ago
• buds-lab / energy-diffusion
  ☆21Updated 11 months ago
• Carterbouley / ElectricityPricePrediction
  This is the final project following my time at Flatirons Data Science bootcamp. It uses Neural Networks (and other machine learning metho…
  ☆73Updated 5 years ago
• sakshi-mishra / solar-forecasting-RNN
  Multi-time-horizon solar forecasting using recurrent neural network
  ☆44Updated 5 years ago
• iamirmasoud / energy_consumption_prediction
  Energy consumption prediction using LSTM/GRU networks in PyTorch
  ☆68Updated 2 years ago
• ritikdhame / Electricity_Demand_and_Price_forecasting
  Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN …
  ☆129Updated 2 years ago
• pedrolarben / ElectricDemandForecasting-DL
  Electricity demand forecasting with temporal convolutional networks
  ☆22Updated 4 years ago
• fbohu / Deep-Spatio-Temporal-Forecasting-of-Electrical-Vehicle-Charging-Demand
  ☆45Updated 4 years ago
• samyeh0527 / CNN_BiLSTM_withAttention
  ☆17Updated 4 years ago
• tianchen101 / MQRNN
  Multi-Quantile Recurrent Neural Network for Quantile Regression
  ☆67Updated 5 years ago
• demmojo / lstm-electric-load-forecast
  Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network
  ☆88Updated 6 years ago
• arslan2k12 / Short-term-load-forecasting-using-ensemble-modelling-and-optimization-for-demand-response
  forecasting and optimization - Coded in Python
  ☆25Updated 6 years ago
• dhamvi01 / Multivariate-Time-Series-Using-LSTM
  ☆26Updated 11 months ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆73Updated 7 years ago
• yasamanensafi / retail_store_sales_forecasting
  Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…
  ☆32Updated 5 years ago
• daveo30 / Wind-Power-Forecasting
  Forecasting the power generated by wind turbines using Deep Neural Networks and Clustering Approach
  ☆22Updated 3 years ago
• hvantil / ElectricityDemandForecasting
  Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models
  ☆47Updated 7 years ago
• pyae-pyae-phyo / Short-term-electricity-load-forecasting-using-long-short-term-memory
  ☆18Updated 7 years ago