Smart Control with Embedded Weather Forecasting

Research output: Other contributionNet publication - Internet publicationCommunication

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Abstract

In a sustainable future, where fossile fuels do not belong, we need to harvest our energy from fluctuating and weather dependent sources. Reliable weather forecasts are thus critical for smart energy systems, e.g. smart- buildings or grid operators. Meteorological weather forecasts suffer from inaccuracies in their short-term predictions. These inaccuracies become critical for fast-changing "components" such as the solar radiation, which can fluctuate greatly during short time windows. For example to predict the amount of eletricity generated during the next hour, the accuracy depends one-to-one with the quality of the solar radiation forecasts. To predict short term weather conditions for smart control, we propose an embedded forecasting model based on non-linear grey-box models.
Original languageEnglish
Publication date2021
PublisherTechnical University of Denmark
Number of pages2
Publication statusPublished - 2021

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