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Titlebook: Environment, Energy and Climate Change II; Energies from New Re Gilles Lefebvre,Elena Jiménez,Beatriz Cabañas Book 2016 Springer Internatio

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Wind Power Forecast Error Probabilistic Model Using Markov Chains,of WPFE probability density function (PDF) is found to change significantly with the length of the forecasting timescale and with wind power production range. Additionally, error sources and magnitudes are analyzed to establish their main characteristics. Finally a Markov chain (MC) probabilistic mo
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Agency and Learning Relationships Against Energy-Efficiency Barriers, included in energy performance contracting. In this process, ESCOs interact with financial institutions, customers, government, and other stakeholders..Our framework clarifies the role of the different stakeholders in order to improve the funding, knowledge, competences, and values that are behind
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weiblich – muslimisch – sportengagierttial smoothing methods and is widely used in industry applications ranging from supply chain demand forecasting to electricity load energy forecasting, has not been fully exploited in solar irradiation forecasting. Additionally, in case the accuracy achieved by the Holt–Winters method is not enough,
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https://doi.org/10.1057/9780230372177chieved when using conventional or aeroderivative gas turbines. The possibility of using heat transfer fluids (HTF) with higher thermal stability (like molten salts) would permit integration of energy backup systems in a more efficient and cost-effective manner. A great deal of research and developm
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