Open Data and Models for Energy and Environment

doi:10.3390/books978-3-0365-1755-1

Download Url(s)

https://mdpi.com/books/pdfview/book/4112

Contributor(s)

Nastasi, Benedetto (editor)

Manfren, Massimiliano (editor)

Noussan, Michel (editor)

Language

English

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Abstract

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.

URI

https://directory.doabooks.org/handle/20.500.12854/76665

Keywords

electric vehicles; electricity mix; charging profile; emissions; energy; energy scenarios; photovoltaics; wind; EPLANopt; multi-objective optimization; climate-change; bi-level optimisation method; evolutionary algorithms; renewable energy; wave energy converter; geometric parameters; power take-off; levelised cost of energy; scroll-compressor; experimental validation; numerical model; layout assessment; wave energy conversion; real wave model; building energy management; energy information systems; anomaly detection and diagnosis; classification tree; symbolic aggregate approximation; association rule mining; energy modelling; heating transition; modelling practices; data-driven policy design; local policy; municipality; multi-model ecologies; energy transitions; energy analytics; data-driven methods; building performance analysis energy efficiency; energy flexibility; occupant-centric design; open energy data; thermal building performance; satellite-based solar radiation data; meteorological reanalysis data; ISO 52016-1; single-zone infiltration; digital construction; artificial intelligence; digital twin; nZEB; energy management; energy efficiency; edge computing; n/a