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Multidimensional Big Data Modeling for Reliable Electricity Supply
Weather patterns cause significant fluctuations in weather in Europe and in the potential supply of energy from renewable sources. Weather conditions can jeopardize the long-term system adequacy of a low-carbon energy system. A robust and reliable energy supply requires advanced models capable of predicting and managing this variability. To choose the right combination of investments and measures, network operators are supported by various computational models. These models are enhanced in this research with big data analytics techniques to analyze processes in climate, weather, energy production, and demand in an integrated manner. In June, we spoke with Machteld van den Broek, Professor of Energy System Integration at TU Delft.
Verslag: Workshop ‘Data-driven Innovations for the Energy Transitions’
On Thursday, September 21st, the Commit2Data community focused on energy came together with the NL AIC working group on Energy & Sustainability at Mondai House of AI. With the Commit2Data program approaching its end, goal of this workshop was to connect to the NLAIC working group Energy & Sustainability in order to integrate its insights and foster new collaborations, thereby extending the program's research efforts.
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