LEADER 03511nam 22005773 450 001 9911018829603321 005 20240203060212.0 010 $a9781394166923 010 $a1394166923 010 $a9781394166916 010 $a1394166915 035 $a(MiAaPQ)EBC31096112 035 $a(Au-PeEL)EBL31096112 035 $a(CKB)30156887800041 035 $a(Exl-AI)31096112 035 $a(Perlego)4332559 035 $a(OCoLC)1419869321 035 $a(EXLCZ)9930156887800041 100 $a20240203d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSustainable Management of Electronic Waste 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2024. 210 4$dİ2024. 215 $a1 online resource (445 pages) 311 08$a9781394166176 311 08$a1394166176 327 $aCover -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Chapter 1 Integration of Artificial Intelligence Techniques for Energy Management -- 1.1 Introduction -- 1.2 Summary of Artificial Intelligence Techniques -- 1.2.1 Machine Learning -- 1.2.2 Deep Learning (DL) Techniques -- 1.3 Reasons for Applying AI in EMS -- 1.4 ML in Renewable Energy -- 1.4.1 ML for Renewable Energy Applications -- 1.4.2 Countries Focusing on ML -- 1.4.3 Notable ML Projects -- 1.4.4 How ML is Renovating the Energy Industry -- 1.4.5 Machine Learning in Renewable Energy -- 1.5 Integration of AI in Smart Grids -- 1.5.1 Load Balancing -- 1.5.2 Power Grid Stability Assessment -- 1.5.3 Smart Grid Challenges -- 1.5.4 Future of AI in Smart Grids -- 1.5.5 Challenges of AI in Smart Grids -- 1.6 Parameter Selection and Optimization -- 1.6.1 Strategies for Tuning Hyperparameter Values in a Machine Learning Model -- 1.7 Biological-Based Models for EMS -- 1.8 Future of ML in Energy -- 1.9 Opportunities, Limitations, and Challenges -- 1.9.1 Opportunities and Limitations$7Generated by AI. 330 $aThis book, 'Sustainable Management of Electronic Waste,' explores the effective management of e-waste through various technological and scientific approaches. Edited by Abhishek Kumar, Pramod Singh Rathore, Ashutosh Kumar Dubey, Arun Lal Srivastav, T. Ananth Kumar, and Vishal Dutt, it delves into topics such as artificial intelligence techniques for energy management, bioethanol production from e-waste, and the integration of AI in smart grids. The book provides a comprehensive review of current trends, challenges, and future prospects in e-waste management, offering insights for researchers, industry professionals, and policymakers aiming for sustainable solutions to electronic waste issues.$7Generated by AI. 606 $aElectronic waste$7Generated by AI 606 $aEnvironmental management$7Generated by AI 615 0$aElectronic waste 615 0$aEnvironmental management 676 $a621.38150286 700 $aKumar$b Abhishek$0977677 701 $aRathore$b Pramod Singh$01833323 701 $aDubey$b Ashutosh Kumar$01750701 701 $aSrivastav$b Arun Lal$01727437 701 $aDutt$b Vishal$01841171 701 $aAnanthkumar$b T$01842040 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911018829603321 996 $aSustainable Management of Electronic Waste$94421972 997 $aUNINA