Open Data and Models for Energy and Environment

• Autore: Nastasi Benedetto
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (248 p.)
• Soggetto topico: Research & information: general; Technology: general issues
• Soggetto non controllato: anomaly detection and diagnosis; artificial intelligence; association rule mining; bi-level optimisation method; building energy management; building performance analysis energy efficiency; charging profile; classification tree; climate-change; data-driven methods; data-driven policy design; digital construction; digital twin; edge computing; electric vehicles; electricity mix; emissions; energy; energy analytics; energy efficiency; energy flexibility; energy information systems; energy management; energy modelling; energy scenarios; energy transitions; EPLANopt; evolutionary algorithms; experimental validation; geometric parameters; heating transition; ISO 52016-1; layout assessment; levelised cost of energy; local policy; meteorological reanalysis data; modelling practices; multi-model ecologies; multi-objective optimization; municipality; n/a; numerical model; nZEB; occupant-centric design; open energy data; photovoltaics; power take-off; real wave model; renewable energy; satellite-based solar radiation data; scroll-compressor; single-zone infiltration; symbolic aggregate approximation; thermal building performance; wave energy conversion; wave energy converter; wind
• Persona (resp. second.): ManfrenMassimiliano; NoussanMichel; NastasiBenedetto
• Sommario/riassunto: This Special Issue aims at providing recent advancements on open data and models. Energy and environment are the fields of application.For all the aforementioned reasons, we encourage researchers and professionals to share their original works. Topics of primary interest include, but are not limited to:Open data and models for energy sustainability;Open data science and environment applications;Open science and open governance for Sustainable Development Goals;Key performance indicators of data-aware energy modelling, planning and policy;Energy, water and sustainability database for building, district and regional systems; andBest practices and case studies.
• Titolo autorizzato: Open Data and Models for Energy and Environment
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557715203321
• Lo trovi qui: Univ. Federico II