Machine Learning for Energy and Process optimization (MLEEP)

In the last few years, many Danish industrial companies have had increased access to high quality process-data. However, the value of the data is rarely capitalized on, as value creation based on data processing are costly, time consuming and complex to integrate in production processes. The project "Machine Learning for Energy and Process Optimization (MLEEP)" will integrate machine learning algorithms directly in 5 Danish industrial companies - all with different issues and challenges - and try to illuminate potentials, opportunities and barriers when using artificial intelligence for energy and process optimization of industrial processes. The aim of the project is to quantify the potential for using Machine Learning as a tool, and to generalize and communicate concrete experiences gained in the project to the rest of the industry – contributing to the propagation of data driven methods in the process industry and to create societal value of currently available data.