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Electricity price forecasting is an inherently difficult problem due its special characteristics and has been an especially challenging to model. Neural networks are increasingly used to attack the problem and in this series we'll delve we start with an introduction to Machine Learning, will then look at the models and finally build our own.
In the second part of his Machine Learning series, Adam Green looks at the implications machine learning will have across the electricity industry.
The energy industry is a guided by powerful forces, yet there is one less visible trend that may come to dominate all the others. In this guest post, Adam Green, introduces Machine Learning, talks through the challenges, highlights the opportunities and describes how AI is cracking previously insurmountable problems.