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In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.

Research & information: general --- short-term forecasts --- direct normal irradiance --- concentrating solar power --- system advisor model --- operational strategies --- central solar receiver --- solar irradiance forecasts --- numerical weather prediction model --- different horizontal resolution --- forecast errors --- validation --- ramp rates --- renewable energy forecasting --- solar radiation --- shark algorithm --- particle swarm optimization --- ANFIS --- nowcasting --- Kalman-Bayesian filter --- WRF --- high-resolution --- complex terrain --- wind --- solar irradiation --- photovoltaic solar energy --- deep learning --- prediction --- biofuel --- risk analysis --- sustainable development --- renewable energy --- biomass --- biotechnology --- anthropogenic waste processing --- energy resource assessment --- tidal-stream energy --- thrust force coefficient --- momentum sink --- unbounded flow --- open channel flows --- shock-capturing capability --- global horizontal irradiance (GHI) --- forecasting --- clearness coefficient --- Markov chains --- weather research and forecasting model --- solar resource --- heat supply of industrial processes --- solar collectors --- economic efficiency --- cross border trading --- Granger causality --- electricity trading --- spot prices --- deformable models --- electric energy demand --- functional statistics --- Kalman filtering --- shape-invariant model --- developing countries --- concentrated solar --- thermochemical --- energy --- renewable energy sources --- climate policy --- forecast --- the European Green Deal

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.

Research & information: general --- short-term forecasts --- direct normal irradiance --- concentrating solar power --- system advisor model --- operational strategies --- central solar receiver --- solar irradiance forecasts --- numerical weather prediction model --- different horizontal resolution --- forecast errors --- validation --- ramp rates --- renewable energy forecasting --- solar radiation --- shark algorithm --- particle swarm optimization --- ANFIS --- nowcasting --- Kalman-Bayesian filter --- WRF --- high-resolution --- complex terrain --- wind --- solar irradiation --- photovoltaic solar energy --- deep learning --- prediction --- biofuel --- risk analysis --- sustainable development --- renewable energy --- biomass --- biotechnology --- anthropogenic waste processing --- energy resource assessment --- tidal-stream energy --- thrust force coefficient --- momentum sink --- unbounded flow --- open channel flows --- shock-capturing capability --- global horizontal irradiance (GHI) --- forecasting --- clearness coefficient --- Markov chains --- weather research and forecasting model --- solar resource --- heat supply of industrial processes --- solar collectors --- economic efficiency --- cross border trading --- Granger causality --- electricity trading --- spot prices --- deformable models --- electric energy demand --- functional statistics --- Kalman filtering --- shape-invariant model --- developing countries --- concentrated solar --- thermochemical --- energy --- renewable energy sources --- climate policy --- forecast --- the European Green Deal

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Many geometrical features of manifolds and fibre bundles modelled on Fréchet spaces either cannot be defined or are difficult to handle directly. This is due to the inherent deficiencies of Fréchet spaces; for example, the lack of a general solvability theory for differential equations, the non-existence of a reasonable Lie group structure on the general linear group of a Fréchet space, and the non-existence of an exponential map in a Fréchet-Lie group. In this book, the authors describe in detail a new approach that overcomes many of these limitations by using projective limits of geometrical objects modelled on Banach spaces. It will appeal to researchers and graduate students from a variety of backgrounds with an interest in infinite-dimensional geometry. The book concludes with an appendix outlining potential applications and motivating future research.

Fréchet spaces. --- Banach spaces. --- Geometry, Differential.

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L’organisation chargée en Grèce des bâtiments scolaires, l’OSK, met au point des projets bioclimatiques pilotes qui donnent des résultats positifs. L’action bioclimatique est l’un des grands axes prioritaires de la planification des infrastructures scolaires en Grèce depuis 2004. Parmi les activités lancées par l’OSK pour promouvoir l’utilisation des sources d’énergie renouvelables dans les écoles, figure un projet pilote dont le but est de concevoir et d’installer un système photovoltaïque dans un établissement secondaire d’Athènes.

Education --- Greece

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Greece’s School Buildings Organisation (SBO) is developing bioclimatic pilot schemes which are yielding positive results. Bioclimatic action has been one of the principal priorities of Greek school infrastructure planning since 2004. Among the activities undertaken by SBO to use renewable energy sources in school buildings is a pilot project to design and install a photovoltaic system in a secondary school in Athens.

Education --- Greece