Titlebook: Decision Making Using AI in Energy and Sustainability; Methods and Models f Gülgün Kayakutlu,M. ?zgür Kayalica Book 2023 The Editor(s) (if

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https://doi.org/10.1007/978-3-319-49751-8lectricity generation. Accurate forecasts can also help to prevent energy wastage, reduce operating costs, and minimize environmental impacts. Several approaches for this task have been proposed in the related literature, including machine learning, statistical modeling, stochastic/fuzzy/gray modeli

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Structure and Technical Requirementsof the many inputs, make it more difficult to forecast the price accurately due to their chaotic nature and the increasing amount of installed power. In this study, the effect of wind power forecasts on the electricity price has been investigated using autocorrelation and partial autocorrelation fun

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Dirk Bartz,Michael Mei?ner,Gordon Müllertion issues, leading to the concept of a smart city. However, local authorities may have difficulties handling the complexity of developing pertinent smart city use cases efficiently and matching their strategy to reach urban sustainability. We propose a smart city profile computation as a first ste

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High Quality Splatting and Volume Synthesis to enhance municipal services and infrastructure, as well as citizens’ quality of life by the careful identification and selection of smart solutions. The aim of this study is to propose an analytical approach for the prioritization of suitable smart city solutions. In this context, a smart city mo

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