04179nam 2201093z- 450 9910404078103321202102113-03928-890-3(CKB)4100000011302357(oapen)https://directory.doabooks.org/handle/20.500.12854/41352(oapen)doab41352(EXLCZ)99410000001130235720202102d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierArtificial Intelligence for Smart and Sustainable Energy Systems and ApplicationsMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (258 p.)3-03928-889-X Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists-namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.History of engineering and technologybicsscambient assisted livingartificial intelligenceartificial neural networkartificial neural networksCNNcomputational intelligenceconditional random fieldsdecision treedeep learningdemand responsedemand side managementdistributed genetic algorithmdrill-in fluidELRenergyenergy disaggregationenergy efficient coverageenergy managementERELMFaster R-CNNfeature extractionforecastinggenetic algorithmhome energy managementhome energy management systemsinsulatorinternet of thingsJetson TX2loadload disaggregationLRLSTMmachine learningMarsh funnelMCP39F511mud rheologymultiple kernel learningNILMnon-intrusive load monitoringnonintrusive load monitoringobject detectionoptimization algorithmsplastic viscositypolicy makingpriceRELMRPNsandstone reservoirsschedulingself-adaptive differential evolution algorithmsensor networksmart citiessmart citysmart gridsmart gridssmart meteringsmart villagesstatic young's modulussupport vector machinesustainable developmenttransient signaturewireless sensor networksyield pointHistory of engineering and technologyLytras Miltiadisauth1149833Chui Kwok TaiauthBOOK9910404078103321Artificial Intelligence for Smart and Sustainable Energy Systems and Applications3035777UNINA