Energy forecasting and modeling in rural areas is accomplished through NRG4CAST platform through which a set of real-time prediction and trend detection services are developed based on advanced machine learning, trend detection, prediction, optimisation and reasoning capabilities in order to provide to stakeholders unique service for energy consumption, network failure and energy prices prediction. In order to build up reliable services different type of information are assessed and combined from internal and external sources: historical and current information from the local energy distribution network (energy consumption and network devices status), information about the local environment (natural and social), energy prices (national and international).
['I.P. Koronaki', 'Tatsiana Hubina', 'Kostas Kalaboukas', 'George Markogiannakis', 'Hamodrakas Giannis', 'Maja Skrjanc', 'Klemen Kenda', 'Simon Mokorel', 'Steffen Nienke', 'Caterina Calefato']
Energy forecasting and modelling in rural areas