MALENA: Machine Learning System for Energy Data Analysis and Management

The aim of MALENA is to develop innovative and state-of-the-art software tools covering the participation needs of the Public Power Corporation (PPC) of Greece in the Day-Ahead and Intra-Day energy markets of the European Target Model, introduce innovation and expertise within PPC, and provide PPC with a software solution that sets the company free from license restrictions and third-party software companies. At the same time, the provision of a personalized service to consumers, giving them integrated access to their energy data and allowing them to manage their consumption, broadens PPC’s services portfolio with the integration of current trends in the energy sector. In order to pursue all these objectives, MALENA investigates two main research paths for forecasting multiple future values of time series: a) deep neural networks, b) multi-target prediction.