Published June 25, 2021 | Version v1
Journal article Open

Short Term Net Imbalance Volume Forecasting through Machine and Deep Learning: A UK case study

Description

As energy markets become more and more dynamic, the importance of price forecasting has gained a lot of attention over the last few years. Considering also the introduction of new business models and roles, such as Aggregators and energy flexibility traders, in the constantly evolving energy landscape which follows the general opening of the European electricity markets, the need for anticipating energy price trends and flows holds significant business value.

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Short Term Net Imbalance Volume Forecasting through Machine and Deep Learning A UK case study.pdf