A Machine Learning Approach to Smart Electricity Management

The project „A Machine Learning Approach to Smart Electricity Management: From Disaggregation to Policy Impact Evaluation” – submitted by Wilfried Elmenreich and Martin Wagner – has been awarded a predoc position following the second call in the „Ada Lovelace Programme“ by the Universisty of Klagenfurt. The project is truly interdisciplinary, located at the interface of energy systems analysis, machine learning and AI on the one hand and policy impact analysis on the other hand to estimate the economic and ecelogical potential of smart meter data and dynamic pricing.