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200 10$aPreparing distribution utilities for the future - unlocking demand-side management potential $ea novel analytical framework /$fKillian McKenna [and eight others]
210  1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d2021.
215   $a1 online resource (xiv, 70 pages) $cillustrations (chiefly color), one color map
225 1 $aNREL/TP ;$v5C00-79375
300   $a"Greening the Grid (GTG): a partnership between USAID and Ministry of Power, Government of India"--Cover.
300   $a"July 2021"--Cover.
320   $aIncludes bibliographical references (page 50).
517   $aPreparing distribution utilities for the future - unlocking demand-side management potential 
606   $aDistributed resources (Electric utilities)$zUnited States
606   $aDistributed generation of electric power$zUnited States
606   $aDemand-side management (Electric utilities)$zUnited States
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615  0$aDistributed generation of electric power
615  0$aDemand-side management (Electric utilities)
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712 02$aIndia.$bMinistry of Power.
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200 10$aAdvanced Hybrid Information Processing $e4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II /$fedited by Shuai Liu, Liyun Xia
205   $a1st ed. 2021.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021.
215   $a1 online resource (XIX, 476 p. 193 illus., 43 illus. in color.) 
225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v348
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330   $aThis two-volume set constitutes the post-conference proceedings of the 4th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2020, held in Binzhou, China, in September 2020. Due to COVID-19 the conference was held virtually. The 89 papers presented were selected from 190 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2020 was ?Industrial applications of aspects with big data?. The papers are named in topical sections as follows: Industrial application of multi-modal information processing; Industrialized big data processing; Industrial automation and intelligent control; Visual information processing.
410  0$aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v348
606   $aData mining
606   $aArtificial intelligence
606   $aComputer engineering
606   $aComputer networks
606   $aDatabase management
606   $aData structures (Computer science)
606   $aInformation theory
606   $aData Mining and Knowledge Discovery
606   $aArtificial Intelligence
606   $aComputer Engineering and Networks
606   $aDatabase Management
606   $aData Structures and Information Theory
615  0$aData mining.
615  0$aArtificial intelligence.
615  0$aComputer engineering.
615  0$aComputer networks.
615  0$aDatabase management.
615  0$aData structures (Computer science).
615  0$aInformation theory.
615 14$aData Mining and Knowledge Discovery.
615 24$aArtificial Intelligence.
615 24$aComputer Engineering and Networks.
615 24$aDatabase Management.
615 24$aData Structures and Information Theory.
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