Development and testing of a micro-grid excess power production forecasting algorithmsDevelopment and testing of a micro-grid excess power production forecasting algorithms Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2018-06-062017enTraditional electricity grids lack flexibility in power generation and load operation in contrast to smart-micro grids that form semi-autonomous entities with energy management capabilities. Load forecasting is invaluable to smart micro-grids towards assisting the implementation of energy management schedules for cost-efficient and secure operation. In the present paper is examined the 24h forecasting of excess production in an existing micro-grid. Alternative input parameters are considered for achieving an accurate prediction. The prediction can be used for scheduling the charging process of a thermal storage during weekends based on excess power production levels.http://creativecommons.org/licenses/by/4.0/654-6639th International Conference on Sustainability and Energy in BuildingsEnergy ProcediaMavrigiannaki_et_al_Energy Procedia_134_2017.pdfChania [Greece]Library of TUC2018-06-06application/pdf1.3 MBfree Mavrigiannaki Angeliki Μαυριγιαννακη Αγγελικη Kampelis Nikolaos Καμπελης Νικολαος Kolokotsa Dionysia Κολοκοτσα Διονυσια Marchegiani Daniele Standardi, Laura Isidori Daniela Christalli Cristina Elsevier Artificial neural network Forecasting Integration Micro-grid