{"product_id":"artificial-intelligence-for-sustainable-energy-systems-1-intelligent-technologies-for-sustainable-energy-management-hardback-9781836690979","title":"Artificial Intelligence for Sustainable Energy Systems 1; Intelligent Technologies for Sustainable Energy Management (Hardback) 9781836690979","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eArtificial Intelligence for Sustainable Energy Systems 1\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eIntelligent Technologies for Sustainable Energy Management\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eInam Ul Haq (Edited by), I Ul Haq (Author), Sanna Mehraj Kak (Edited by), Anand Kumar Gupta (Edited by), Muhammad Sher Ramzan (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781836690979, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 12 June 2026\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e304 pages\u003cbr\u003e23.5 x 15.6 x 2 cm, 0.564 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003ci\u003eArtificial Intelligence for Sustainable Energy Systems 1\u003c\/i\u003e presents a comprehensive exploration of how intelligent technologies are transforming modern energy infrastructures toward a more sustainable and efficient future. \u003cbr\u003e\u003cbr\u003eThis book brings together the fundamental concepts of artificial intelligence (AI), machine learning, deep learning and big data analytics, with their practical integration into renewable energy systems, smart grids and digital energy management platforms. The book covers key developments such as AI-driven renewable optimization, predictive modeling for energy demand, digital twins for asset maintenance, blockchain-enabled energy trading, IoT-based smart grids and intelligent monitoring systems. By blending theoretical insights with real-world technological implementations, the book highlights how data-driven intelligence enhances reliability, security and sustainability across energy ecosystems. \u003cbr\u003e\u003cbr\u003eDesigned for researchers, engineers, graduate students and policymakers, this book serves as a fundamental reference for advancing intelligent solutions in next-generation sustainable energy systems.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xv\u003cbr\u003e\u003ci\u003eInam UL HAQ, Sanna Mehraj KAK, Anand Kumar GUPTA and Muhammad Sher RAMZAN\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1. Introduction to Sustainable Energy Systems 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eInam UL HAQ\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1. Introduction 1\u003cbr\u003e1.2. Components of sustainable energy systems 4\u003cbr\u003e1.3. Sustainability issues in energy 7\u003cbr\u003e1.4. AI in sustainable energy systems 8\u003cbr\u003e1.5. Case studies and applications 11\u003cbr\u003e1.6. Future directions 13\u003cbr\u003e1.7. Conclusion 14\u003cbr\u003e1.8. References 15\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2. Overview of AI, ML and DL Applications in Energy and Sustainability 17\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePriya PANDEY, Ashish PANDEY and Hema MAHAWAR\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1. Introduction 17\u003cbr\u003e2.2. Literature review 25\u003cbr\u003e2.3. Methodology 27\u003cbr\u003e2.4. Challenges 30\u003cbr\u003e2.5. Conclusion and future scope 32\u003cbr\u003e2.6. References 33\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3. Overview of AI, ML and DL Applications in Energy and Sustainability 37\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMrinal PANDEY and Monika GOYAL\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1. Introduction 37\u003cbr\u003e3.2. Literature survey 39\u003cbr\u003e3.3. Brief description of AI, ML and DL 40\u003cbr\u003e3.4. Applications of AI in energy sectors and sustainability 42\u003cbr\u003e3.5. Case study 45\u003cbr\u003e3.6. Conclusion 49\u003cbr\u003e3.7. References 49\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4. Conceptual and Methodological Insights into AI, ML and DL for Energy and Environmental Challenges 51\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eInderdeep KAUR\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1. Introduction 52\u003cbr\u003e4.2. Conceptual foundations of AI, ML and DL 57\u003cbr\u003e4.3. Methodologies for environmental data acquisition 64\u003cbr\u003e4.4. AI-based predictive modeling for environmental challenges 68\u003cbr\u003e4.5. AI-driven energy system optimization 73\u003cbr\u003e4.6. Smart agriculture and precision forestry 76\u003cbr\u003e4.7. Challenges and ethical considerations 78\u003cbr\u003e4.8. Future directions and emerging trends 81\u003cbr\u003e4.9. Conclusion 83\u003cbr\u003e4.10. References 84\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5. AI in Renewable Energy Technologies 89\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJagdeep KAUR, Vidhi GUPTA and Aditi RAJ\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1. Introduction to sustainable energy systems 89\u003cbr\u003e5.2. Introduction to AI in renewable energy technologies 94\u003cbr\u003e5.3. Smart grids, IoT and AI for energy management 99\u003cbr\u003e5.4. Global policies and AI-enabled energy strategies 106\u003cbr\u003e5.5. Future directions, pathways to net-zero: challenges, risks and future of AI in sustainable energy 114\u003cbr\u003e5.6. Conclusion 118\u003cbr\u003e5.7. References 119\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6. Big Data Analytics and Predictive Models in Energy Systems 121\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eBiswajit DAS, Himanshu PABBI, Shweta SINGH, Monika MEHRA and Sanny KUMAR\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1. Introduction 121\u003cbr\u003e6.2. Big data analytics in energy systems basics 126\u003cbr\u003e6.3. Predictive modeling: concepts and techniques 131\u003cbr\u003e6.4. Applications of big data analytics in energy systems 140\u003cbr\u003e6.5. Integration of IoT, Edge and cloud technologies 144\u003cbr\u003e6.6. Case studies and real-world implementations 147\u003cbr\u003e6.7. Challenges, limitations and future directions 150\u003cbr\u003e6.8. Conclusion 154\u003cbr\u003e6.9. References 156\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7. Smart Grids, IoT and AI: Transforming Energy Management for a Sustainable Future 161\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKhalid Hafiz MIR and Anzah BASHIR\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1. Introduction 162\u003cbr\u003e7.2. Ethical considerations 164\u003cbr\u003e7.3. Regulatory frameworks 170\u003cbr\u003e7.4. Metrics for ethical and regulatory compliance 172\u003cbr\u003e7.5. Future directions 173\u003cbr\u003e7.6. Conclusion 173\u003cbr\u003e7.7. References 174\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8. Digital Twins and AI for Predictive Maintenance of Renewable Energy Assets 177\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAbdul Malik ANSARI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1. Introduction 177\u003cbr\u003e8.2. DTs in renewable energy 179\u003cbr\u003e8.3. System architecture of DT–AI integration 183\u003cbr\u003e8.4. Integration of DTs and AI 185\u003cbr\u003e8.5. Comparative analysis of maintenance strategies 192\u003cbr\u003e8.6. Conclusion 194\u003cbr\u003e8.7. References 194\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9. Digitally Enhanced Fire Alarm System Using Sensor Driven Arduino Implementation for Smart Energy Management 197\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRanjit Kumar BINDAL and Akhil NIGAM\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1. Introduction 198\u003cbr\u003e9.2. Literature review 198\u003cbr\u003e9.3. Problem formulation 201\u003cbr\u003e9.4. Constraints 202\u003cbr\u003e9.5. Advantages of Arduino Uno over other types of Arduino modules 207\u003cbr\u003e9.6. Concluding remarks 210\u003cbr\u003e9.7. References 211\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10. AI and Blockchain for Renewable Energy Trading 215\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHitendra SINGH, Pradeep Kumar SHARMA, Deepti GUPTA, Fardeen Ahmad KHAN, Bandana KUMARI, Shivani SHARMA, Prashant KUMAR and Sanny KUMAR\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1. Introduction 215\u003cbr\u003e10.2. AI in renewable energy 218\u003cbr\u003e10.3. Renewable energy with blockchain 220\u003cbr\u003e10.4. AI–blockchain synergy 226\u003cbr\u003e10.5. Challenges and limitations in blockchain and AI-based renewable energy trading 230\u003cbr\u003e10.6. Future prospects 233\u003cbr\u003e10.7. Summary 236\u003cbr\u003e10.8. References 237\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11. Smart Energy Grids: Architecture, Security and Emerging Technologies 241\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDhruv GOEL, Pratham KUMAR, Mamta NARWARIA and Md Jauhar IMAM\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1. Introduction 241\u003cbr\u003e11.2. Literature review\/background 242\u003cbr\u003e11.3. IoT-enabled smart energy grid framework (methodology) 245\u003cbr\u003e11.4. Results and discussion 248\u003cbr\u003e11.5. Security vulnerabilities and threat models 249\u003cbr\u003e11.6. Challenges and future scope 252\u003cbr\u003e11.7. Conclusion 254\u003cbr\u003e11.8. References 255\u003c\/p\u003e \u003cp\u003eList of Authors 257\u003cbr\u003eIndex 261\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: History [\u003ca title=\"See our other books on History\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22History%20%5BHB%5D%22\"\u003eHB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-ISTE","offers":[{"title":"Brand New","offer_id":52446832886040,"sku":"9781836690979","price":117.68,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781836690979.jpg?v=1785115194","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/artificial-intelligence-for-sustainable-energy-systems-1-intelligent-technologies-for-sustainable-energy-management-hardback-9781836690979","provider":"Freshly Printed Books","version":"1.0","type":"link"}