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

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Data Types For Database Programminge carbon emissions to zero by 2050, our scenario for Turkey will be based on the years between 2020 and 2050. It is estimated that Turkey will have an increasing electricity demand as a developing country. OSeMOSYS, an open-source optimization tool, is used to design our energy model. As the energy

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An Overview of the Poly Programming Language2 hours, 4 hours, and 6 hours ahead. Furthermore, to measure the performance of the forecasting model, the Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) are calculated. As a result, the lowest error rate is acquired for 1 hour ahead of time horizon with 8496 (W/m.) MSE and 92 (W/m.) RM

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Structure and Technical Requirementse voting considering various performance metrics, the generated results indicate that combining forecasts from different traditional statistical models can result in better-performing models; however, it is not always the case that they outperform traditional models. In addition, static combination

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High Quality Splatting and Volume Synthesisf the evaluation process. The importance degrees of the identified smart city parameters are calculated with the hierarchical HFL Simple Additive Weighting (SAW) method, whereas the smart city solutions are prioritized with the HFL Additive Ratio Assessment (ARAS) method. The applicability of the pr