4th International Conference on Renewable Energy Research and Applications Palermo, Italy, 22-25 Nov 2015 Novel Energy Modelling and Forecasting Tools for Smart Energy Networks G. Sauba*,Jos van der Burgt*, A. Schoofs**, C. Spataro***, M. Caruso***, F. Viola*** and R. Miceli*** *SR&I, Power & Electrification DNV GL Arnhem, The Netherlands **Wattics Ltd. Dublin, Ireland ***Department of Energy, Information engineering and Mathematical models (DEIM) University of Palermo Palermo, Italy
[email protected] Abstract—A novel Energy Modelling and Forecasting Tool data generated for the time period required. This can range (EMFT) has been adopted for use in the VIMSEN (Virtual from intra-day to day-ahead in most normal operations but it Microgrids for Smart Energy Networks) project and this paper can extend to week-ahead, month-ahead or even year-ahead. gives an insight of the techniques used to provide vital support to The latter is mostly used for planning purposes and it is very the energy market, in particular to energy aggregators. A brief dependent on quality of the data feed to get the desired description of one of the test sites where data has been collected accuracy expected. for validation of the EMFT will be outlined and some examples shown. The information and predictions will then be used by a For the VIMSEN project the EMFT will make predictions decision support system to dynamically adjust energy delivery on the future energy consumption and generation patterns and consumption, by giving advice to users and operators on either within a single micro-grid or over the collection of the actions they can take to obtain a better match between energy distributed micro-grids.