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010   $a9783031460920
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101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aData Analytics for Smart Grids Applications?A Key to Smart City Development /$fedited by Devendra Kumar Sharma, Rohit Sharma, Gwanggil Jeon, Raghvendra Kumar
205   $a1st ed. 2023.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023.
215   $a1 online resource (466 pages)
225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v247
311 08$aPrint version: Kumar Sharma, Devendra Data Analytics for Smart Grids Applications--A Key to Smart City Development Cham : Springer International Publishing AG,c2024 9783031460913 
327   $aData Analytics For Smart Grids And Applications - Present And Future Directions -- Design, Optimization and Performance Analysis of Microgrids using Multi-Agent Q-Learning -- Big Data Analytics for Smart Grid: A Review on State-of- Art Techniques and Future Directions -- Smart Grid Management for Smart City Infrastructure using Wearable Sensors -- Studies on Conventional and Advanced Machine Learning Algorithm towards Framing of Robust Data analytics for the Smart Grid Application -- Prediction and Classification For Smart Grid Applications -- A Review on Smart Metering Using Artificial Intelligence and Machine Learning Techniques: Challenges and Solutions.
330   $aThis book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.
410  0$aIntelligent Systems Reference Library,$x1868-4408 ;$v247
606   $aEngineering$xData processing
606   $aComputational intelligence
606   $aBig data
606   $aData Engineering
606   $aComputational Intelligence
606   $aBig Data
615  0$aEngineering$xData processing.
615  0$aComputational intelligence.
615  0$aBig data.
615 14$aData Engineering.
615 24$aComputational Intelligence.
615 24$aBig Data.
676   $a620.00285
700   $aKumar Sharma$b Devendra$01453377
701   $aSharma$b Rohit$01429372
701   $aJeon$b Gwanggil$01279103
701   $aKumar$b Raghvendra$01424278
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910767529203321
996   $aData Analytics for Smart Grids Applications?A Key to Smart City Development$94450886
997   $aUNINA