Resources

Here I will post various resources that might be useful to you.

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If you find anything interesting, that I should post here, please contact me on LinkedIn.

AI in Smart Grids books/resources:

• Smart Meter Data Analytics

• Big Data Analytics in Future Power Systems

• Big Data Application in Power Systems

• IEEE Magazine - May/June 2018 - Big Data Analytics

• Energy Systems: Useful Links and Resources

Events you should attend:

• 40th International Symposium on Forecasting

Projects you should check:

• Learning To Run a Power Network Challenge

• DeepSolar:  a framework that identifies solar PV panels

• Open Climate Fix

• GridEyeS - Smart Grid Eye, from Space to Sky

People you should follow

• Prof. Tao Hong (excellent blogs about forecasting)

• Prof. Rafal Weron (if you are into price forecasting)

• Prof. Rob Hyndman (time series forecasting guru)

• Prof. Pierre Pinson (forecasting renewables)

• Prof. Ram Rajagopal (check his journal papers)

Python libs for time series analysis

• tslearn - Machine Learning for Time Series

• GluonTS - Probabilistic Time Series Modeling

• tsib - python package for creating demand/production time series

• Anomaly Detection Toolkit for Time Series

• darts - sklearn-like time series forecasting library

• tsfresh - time series feature extraction

Load Forecasting papers for beginners

• Load Forecasting Benchmark

• Global Energy Forecasting Competition 2012

• Global Energy Forecasting Competition 2014

• Global Energy Forecasting Competition 2017

• Electric load forecasting with recency effect

• Well known NN based model

Deep Learning for Time Series forecasting - papers for beginners

• Neural forecasting: Introduction and literature overview by Amazon Research

• N-BEATS (lead author is one of the DL godfathers Yoshua Bengio)

• Deep TCN: CNN based model 

• DeepAR by Amazon Research

Energy Datasets

• The REFIT Electrical Load Measurements dataset - Includes cleaned electrical consumption data for 20 households at aggregate and appliance level, timestamped and sampled at 8 second intervals.

• Electric Vehicle Charging Dataset from Caltech

• Open Power System Data: A free and open data platform for power system modeling.

• ENTSO-E - Transparency platform

• Load Profile Generator

• Pecan Street - disaggregated whole home 1s data

• Dataset from GefCom 2012 Load Forecasting track

• Energy Disaggregation Data Set

• Smart Meter Data (CER)

• Electricity (UCI)

• UK-DALE: Domestic Appliance-Level dataset