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Lago, Jesus (author), De Ridder, Fjo (author), Mazairac, Wiet (author), De Schutter, B.H.K. (author)To mitigate the effects of the intermittent generation of renewable energy sources, reliable and efficient energy storage is critical. Since nearly 80% of households energy consumption is destined to water and space heating, thermal energy storage is particularly important. In this context, we propose and validate a new model for one of the...journal article 2019
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Lago, Jesus (author), De Brabandere, Karel (author), De Ridder, Fjo (author), De Schutter, B.H.K. (author)Due to the increasing integration of solar power into the electrical grid, forecasting short-term solar irradiance has become key for many applications, e.g. operational planning, power purchases, reserve activation, etc. In this context, as solar generators are geographically dispersed and ground measurements are not always easy to obtain,...journal article 2018
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Lago, Jesus (author), De Ridder, Fjo (author), De Schutter, B.H.K. (author)In this paper, a novel modeling framework for forecasting electricity prices is proposed. While many predictive models have been already proposed to perform this task, the area of deep learning algorithms remains yet unexplored. To fill this scientific gap, we propose four different deep learning models for predicting electricity prices and...journal article 2018
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Forecasting day-ahead electricity prices in Europe: The importance of considering market integrationLago, Jesus (author), De Ridder, Fjo (author), Vrancx, Peter (author), De Schutter, B.H.K. (author)Motivated by the increasing integration among electricity markets, in this paper we propose two different methods to incorporate market integration in electricity price forecasting and to improve the predictive performance. First, we propose a deep neural network that considers features from connected markets to improve the predictive...journal article 2018