Sustainable Management of Electronic Waste

• Record Nr.: UNINA9910876991903321
• Autore: Kumar Abhishek
• Pubbl/distr/stampa: Newark : , : John Wiley & Sons, Incorporated, , 2024; ©2024
• ISBN: 1-394-16692-3; 1-394-16691-5
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (445 pages)
• Altri autori (Persone): RathorePramod Singh; DubeyAshutosh Kumar; SrivastavArun Lal; DuttVishal; AnanthkumarT
• Soggetti: Electronic waste; Environmental management
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Cover -- 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
• Sommario/riassunto: This 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.