LEADER 03547nam 2200925z- 450 001 9910557346903321 005 20220111 035 $a(CKB)5400000000042421 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76345 035 $a(oapen)doab76345 035 $a(EXLCZ)995400000000042421 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aImproving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (201 p.) 311 08$a3-0365-1207-1 311 08$a3-0365-1206-3 330 $aIn October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced modeling and simulation tools makes it possible to derive new technological solutions that can enhance the energy efficiency of systems and that can reduce the ecological footprint. This book compiles 10 novel research works from a Special Issue that was focused on data-driven approaches, machine learning, or artificial intelligence for the modeling, simulation, and optimization of energy systems. 606 $aTechnology: general issues$2bicssc 610 $aant colony optimization 610 $aanti-icing 610 $aappliance classification 610 $aappliance feature 610 $abig data process 610 $abuilding energy consumption 610 $abuilding load forecasting 610 $aclustering 610 $aCO2 reduction 610 $aconvolutional neural network 610 $adesign 610 $aenclosure structure 610 $aenergy 610 $aenergy baselines 610 $aenergy consumption 610 $aenergy efficiency 610 $aexperimental validation 610 $afield measurement 610 $aforecasting 610 $afracturing roofs to maintain entry (FRME) 610 $afuel 610 $aheat and mass transfer 610 $aheat load reduction 610 $aheat transfer coefficient 610 $aheating power distribution 610 $amachine learning 610 $amanufacturing 610 $ameta-heuristics 610 $amodelling 610 $amulti-objective combinatorial optimization 610 $an/a 610 $aneural methods 610 $anon-intrusive load monitoring 610 $anumerical simulation 610 $aoptimization method 610 $apassive house 610 $aprediction 610 $apredictive maintenance 610 $arange 610 $arecurrence graph 610 $aregional 610 $aside abutment pressure 610 $asmart intelligent systems 610 $astrata movement 610 $athermal improved of buildings 610 $aturbo-propeller 610 $aV-I trajectory 610 $aweight 610 $aweighted recurrence graph 615 7$aTechnology: general issues 700 $aDeschrijver$b Dirk$4edt$01290181 702 $aDeschrijver$b Dirk$4oth 906 $aBOOK 912 $a9910557346903321 996 $aImproving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization$93021396 997 $aUNINA