A curated list of awesome energy forecasting resources such as, code libraries, datasets, courses, tutorials, research papers, competitions and communities. Inspired by awesome and awesome-machine-learning.

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• General concepts
• Communities
• Competitions
• Datasets
• Code libraries and tools
• Online cources
• Articles and research papers

• Load Forecasting Terminology: a Growing List
• What Is Time Series Forecasting?
• Rob J Hyndman's books on forecasting and Forecasting: Principles and Practice

• International Institute of Forecasters
• Energies journal - Data Science and Big Data in Energy Forecasting
• TIME SERIES WORKSHOP with a lot of forecasting papers
• IMPORTANT:Many presentations are availableSWEET Sessions @ ISF2019 International Symposium on Forecasting
• Energy Forecasting - A blog by Dr. Tao Hong
• IEEE Working Group on Energy Forecasting and Analytics
• Yi Wang's publications

1. Great Energy Predictor Shootout 1 (ASHRAE)- 1992 Paper applying prediction technique on competition data and giving overview of competition and results

2. Great Energy Predictor Shootout 2 (ASHRAE) - 1996

3. Global Energy Forecasting Competition: This is one of the largest energy forecasting competition supported by IEEE Working Group on Energy Forecasting. It has been conducted three times in the past.

   • 2012 - hierarchical load forecasting problem hosted at kaggle
   • 2014
   • 2017
     • List of papers published in the International Journal of Forecasting
     • Global energy forecasting competition 2017: Hierarchical probabilistic load forecasting
     • Machine learning methods for GEFCom2017 probabilistic load forecasting

4. M Competitions - R package

   • The M4 Competition: 100,000 time series and 61 forecasting methods
   • The M4 Competition: Results, findings, conclusion and way forward
   • Forecasting with high frequency data: M4 competition and beyond
     • Dataset
     • Code and comparison of participant's methods
     • R package with dataset
     • M4 Forecasting Competition: Introducing a New Hybrid ES-RNN Model

5. Older Kaggle competitions

   • Retail Sales Forecasting
   • Retail Sales Forecasting

6. IMPORTANT FAQ for BFCom2018 Qualifying Match

TODO

• Facebook's Prophet: Automatic Forecasting Procedure
  • Forecasting sub-daily data
• Amazon's GluonTS - Probabilistic Time Series Modeling in Python
  • Research paper
  • Tutorial
• Microsoft Research's Deep4cast: Forecasting for Decision Making under Uncertainty
  • Tutorial

TODO

• A review on time series forecasting techniques for building energy consumption
• A review of data-driven building energy consumption prediction studies
• Probabilistic electric load forecasting: A tutorial review
• Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks
• Conditional time series forecasting with convolutional neural networks
• Comparison of various ML methods Statistical and Machine Learning forecasting methods: Concerns and ways forward
• Amazon's DeepAR Forecasting Algorithm
• Forecasting at Uber: An Introduction
• Forecasting at Uber: A Brief Survey
• Time-Series Modeling with Neural Networks at Uber
• Problems when using NNs for time series forecasting by Uber at M4 conference
• Robust Regression Models for Load Forecasting
• Thesis - Forecasting hourly electricity consumption for sets of households using machine learning algorithms
• Multi-step Time Series Forecasting with Machine Learning for Electricity Usage
• Short Term Load Forecasting
• Energy forecasting tools and services -

• Deep learning for forecasting
  • Paper list of Time-series Forecasting with Deep Learning
  • KDD19 - Papers on forecasting
  • KDD19 - Modeling Extreme Events in Time Series Prediction
  • KDD19 - Multi-Horizon Time Series Forecasting with Temporal Attention Learning
  • Links to several papers and code on time-series forecasting using deep learning
  • Deep Learning for Time Series Forecasting: The Electric Load Case
  • Kaggle - Deep Learning for Time Series Forecasting
  • Step-by-step tutorials on Deep Learning models for time series forecasting
  • ACM SIGKDD 2019 tutorial - Forecasting Big Time Series: Theory and Practice - Tutorial Resources
  • How to Get Started with Deep Learning for Time Series Forecasting (7-Day Mini-Course)
  • Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks – ForGAN
  • Probabilistic Forecasting using Deep Generative Models