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Explainable artificial intelligence ...

Pandey, Jay Kumar, (1987-)

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Explainable artificial intelligence and solar energy integration

Record Type:	Electronic resources : Monograph/item
Title/Author:	Explainable artificial intelligence and solar energy integration/ Jay Kumar Pandey.
Author:	Pandey, Jay Kumar,
Published:	Hershey, Pennsylvania :IGI Global, : 2025.,
Description:	1 online resource (xviii, 487 p.) :ill.
[NT 15003449]:	Preface -- Chapter 1. Explainable AI and Solar Energy Integration -- Chapter 2. Future Directions and Emerging Trends: Technological Innovations in Solar Energy Integration -- Chapter 3. Integrating Solar Energy in Space Habitats: The Role of Explainable AI -- Chapter 4. Effects, Challenges, and Issues for Integration of Solar PV Systems to the Grid -- Chapter 5. Equity, Transparency, and Privacy in Renewable Energy Integration: Addressing Social Implications -- Chapter 6. Introduction to Explainable AI: Unveiling the Black Box -- Chapter 7. Solar Energy Integration: Navigating Challenges and Harnessing Opportunities in the Advancement of India's Energy Sector -- Chapter 8. Photovoltaic (PV) Glass for Smart City and Sustainability: Solar Energy Integration Tumbling Impacts on Human Healthcare and Environment -- Chapter 9. Transparent and Efficient Solar Energy Management With Explainable AI -- Chapter 10. Large-Scale Renewable IntegrationPowered by AI -- Chapter 11. Harness the Potential of Explainable Artificial Intelligence and ML Techniques in Solar Energy Forecasting -- Chapter 12. Explainable Artificial Intelligence (XAI): Integration, Policy Frameworks, and Applications in Critical Domains and Renewable Energy -- Chapter 13. Renewable Energy Deployment and Guidelines for Responsible AI Adoption -- Chapter 14. Enhancing Power System Management With XAI -- Compilation of References -- About the Contributors -- Index.
Subject:	Renewable energy sources - Technological innovations. -
Online resource:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-7822-9
ISBN:	9798369378243

Explainable artificial intelligence and solar energy integration
Pandey, Jay Kumar,1987-

Explainable artificial intelligence and solar energy integration[electronic resource] /Jay Kumar Pandey. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xviii, 487 p.) :ill. - Advances in environmental engineering and green technologies (AEEGT) book series. - Advances in environmental engineering and green technologies (AEEGT) book series..

Includes bibliographical references and index.

Preface -- Chapter 1. Explainable AI and Solar Energy Integration -- Chapter 2. Future Directions and Emerging Trends: Technological Innovations in Solar Energy Integration -- Chapter 3. Integrating Solar Energy in Space Habitats: The Role of Explainable AI -- Chapter 4. Effects, Challenges, and Issues for Integration of Solar PV Systems to the Grid -- Chapter 5. Equity, Transparency, and Privacy in Renewable Energy Integration: Addressing Social Implications -- Chapter 6. Introduction to Explainable AI: Unveiling the Black Box -- Chapter 7. Solar Energy Integration: Navigating Challenges and Harnessing Opportunities in the Advancement of India's Energy Sector -- Chapter 8. Photovoltaic (PV) Glass for Smart City and Sustainability: Solar Energy Integration Tumbling Impacts on Human Healthcare and Environment -- Chapter 9. Transparent and Efficient Solar Energy Management With Explainable AI -- Chapter 10. Large-Scale Renewable IntegrationPowered by AI -- Chapter 11. Harness the Potential of Explainable Artificial Intelligence and ML Techniques in Solar Energy Forecasting -- Chapter 12. Explainable Artificial Intelligence (XAI): Integration, Policy Frameworks, and Applications in Critical Domains and Renewable Energy -- Chapter 13. Renewable Energy Deployment and Guidelines for Responsible AI Adoption -- Chapter 14. Enhancing Power System Management With XAI -- Compilation of References -- About the Contributors -- Index.

"As sustainable energy becomes the future, integrating solar power into existing systems presents critical challenges. Intelligent solutions are required to optimize energy production while maintaining transparency, reliability, andtrust in decision-making processes. The growing complexity of these systems calls for advanced technologies that can ensure efficiency while addressing the unique demands of renewable energy sources. Explainable Artificial Intelligence andSolar Energy Integration explores how Explainable AI (XAI) enhances transparency in AI-driven solutions for solar energy integration. By showcasing XAI's role in improving energy efficiency and sustainability, the book bridges the gap between AI potential and real-world solar energy applications. It serves as a comprehensive resource for researchers, engineers, policymakers, and students, offering both technical insights and practical case studies."--

Mode of access: World Wide Web.

ISBN: 9798369378243Subjects--Topical Terms:

2046111
Renewable energy sources
--Technological innovations.Subjects--Index Terms:

Artificial Intelligence.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TJ808 / .P36 2025eb

Dewey Class. No.: 333.79/4

Explainable artificial intelligence and solar energy integration
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505 0 $a Preface -- Chapter 1. Explainable AI and Solar Energy Integration -- Chapter 2. Future Directions and Emerging Trends: Technological Innovations in Solar Energy Integration -- Chapter 3. Integrating Solar Energy in Space Habitats: The Role of Explainable AI -- Chapter 4. Effects, Challenges, and Issues for Integration of Solar PV Systems to the Grid -- Chapter 5. Equity, Transparency, and Privacy in Renewable Energy Integration: Addressing Social Implications -- Chapter 6. Introduction to Explainable AI: Unveiling the Black Box -- Chapter 7. Solar Energy Integration: Navigating Challenges and Harnessing Opportunities in the Advancement of India's Energy Sector -- Chapter 8. Photovoltaic (PV) Glass for Smart City and Sustainability: Solar Energy Integration Tumbling Impacts on Human Healthcare and Environment -- Chapter 9. Transparent and Efficient Solar Energy Management With Explainable AI -- Chapter 10. Large-Scale Renewable IntegrationPowered by AI -- Chapter 11. Harness the Potential of Explainable Artificial Intelligence and ML Techniques in Solar Energy Forecasting -- Chapter 12. Explainable Artificial Intelligence (XAI): Integration, Policy Frameworks, and Applications in Critical Domains and Renewable Energy -- Chapter 13. Renewable Energy Deployment and Guidelines for Responsible AI Adoption -- Chapter 14. Enhancing Power System Management With XAI -- Compilation of References -- About the Contributors -- Index.
520 3 $a "As sustainable energy becomes the future, integrating solar power into existing systems presents critical challenges. Intelligent solutions are required to optimize energy production while maintaining transparency, reliability, andtrust in decision-making processes. The growing complexity of these systems calls for advanced technologies that can ensure efficiency while addressing the unique demands of renewable energy sources. Explainable Artificial Intelligence andSolar Energy Integration explores how Explainable AI (XAI) enhances transparency in AI-driven solutions for solar energy integration. By showcasing XAI's role in improving energy efficiency and sustainability, the book bridges the gap between AI potential and real-world solar energy applications. It serves as a comprehensive resource for researchers, engineers, policymakers, and students, offering both technical insights and practical case studies."-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
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650 0 $a Artificial intelligence $x Environmental aspects. $3 3598484
653 $a Artificial Intelligence.
653 $a Large-Scale Integration.
653 $a Machine Learning.
653 $a Policy Frameworks.
653 $a Power System Management.
653 $a Renewable Energy Deployment.
653 $a Responsible AI Adoption.
653 $a Smart Cities.
653 $a Social Implications.
653 $a Solar Forecasting.
653 $a Space Habitats.
653 $a Sustainability.
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710 2 $a IGI Global. $3 1361470
776 0 8 $i Print version: $z 9798369378229
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