LEADER 03358nam 2200709z- 450 001 9910557433203321 005 20231214132827.0 035 $a(CKB)5400000000043391 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69020 035 $a(EXLCZ)995400000000043391 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDemand-Response in Smart Buildings 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (112 p.) 311 $a3-03928-266-2 311 $a3-03928-267-0 330 $aThis book represents the Special Issue of Energies, entitled ?Demand-Response in Smart Buildings?, that was published in the section ?Energy and Buildings?. This Special Issue is a collection of original scientific contributions and review papers that deal with smart buildings and communities. Demand response (DR) offers the capability to apply changes in the energy usage of consumers?from their normal consumption patterns?in response to changes in energy pricing over time. This leads to a lower energy demand during peak hours or during periods when an electricity grid?s reliability is put at risk. Therefore, demand response is a reduction in demand designed to reduce peak load or avoid system emergencies. Hence, demand response can be more cost-effective than adding generation capabilities to meet the peak and/or occasional demand spikes. The underlying objective of DR is to actively engage customers in modifying their consumption in response to pricing signals. Demand response is expected to increase energy market efficiency and the security of supply, which will ultimately benefit customers by way of options for managing their electricity costs leading to reduced environmental impact. 606 $aHistory of engineering & technology$2bicssc 610 $ademand response 610 $aartificial neural network 610 $apower predictions 610 $aenergy management 610 $agenetic algorithm 610 $aoptimisation 610 $amicrogrid 610 $asmart grid 610 $arequests time 610 $acloud computing 610 $aresponse time 610 $aprocessing time 610 $aresource allocation 610 $afog computing 610 $aenergy resource 610 $aenergy security 610 $aenergy sources 610 $aSlovakia 610 $aenergy flexibility 610 $aretrofitting interventions 610 $aresidential consumption 610 $aelectrification in the built environment 610 $asmart cities 610 $asmart energy management 610 $aIndia 610 $aenergy efficiency 610 $alow-carbon mobility 610 $awater-energy nexus 615 7$aHistory of engineering & technology 700 $aKolokotsa$b Denia$4edt$0896531 702 $aPignatta$b Gloria$4edt 702 $aGobakis$b Kostas$4edt 702 $aKolokotsa$b Denia$4oth 702 $aPignatta$b Gloria$4oth 702 $aGobakis$b Kostas$4oth 906 $aBOOK 912 $a9910557433203321 996 $aDemand-Response in Smart Buildings$93033870 997 $aUNINA