000			01588nam a2200133Ia 4500
008			220615s9999||||xx |||||||||||||| ||und||
020			_a9783040000000
245		0	_aOpen Data and Models for Energy and Environment
546			_aEnglish[eng]
650			_aelectric 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
700			_aNastasi, Benedetto||Manfren, Massimiliano||Noussan, Michel
856			_uhttps://mdpi.com/books/pdfview/book/4112
942			_cEB
999			_c15405 _d15405