Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
AI-Driven Sustainable Power Grids: Enhancing Cybersecurity, Operation, and Control of Conventional, Modern, and Renewable-Based Energy Systems

AI-Driven Sustainable Power Grids: Enhancing Cybersecurity, Operation, and Control of Conventional, Modern, and Renewable-Based Energy Systems

Sharma, Gulshan
Bokoro, Pitshou N.
Kumar, Rajesh

Hardcover

Technology & EngineeringGeneral Computers

ISBN10: 3725876371
ISBN13: 9783725876372
Publisher: Mdpi AG
Published: May 13 2026
Pages: 302
Weight: 1.87
Height: 0.94 Width: 6.69 Depth: 9.61
Language: English

The Special Issue, entitled 'AI-Driven Sustainable Power Grids: Enhancing Cybersecurity, Operation and Control of Conventional, Modern and Renewable-Based Energy Systems', addresses the urgent transformation of global energy systems toward sustainable, reliable, and intelligent infrastructures. Growing energy demand, environmental concerns, and greenhouse gas reduction commitments have accelerated renewable energy integration and digitalization. Power systems are evolving into decentralized, data-driven smart networks, leveraging AI, IoT, advanced optimization, and digital communication to improve planning, operation, and control while tackling grid stability, cybersecurity, and energy management challenges. This Special Issue presents high-quality research covering optimal scheduling for smart homes with hybrid renewable systems, knowledge extraction for substation diagrams, multi-objective optimization for load flow analysis, coordinated voltage regulation, AI-powered digital twin frameworks, cybersecurity for distributed energy systems, EV charging infrastructure, and control strategies for photovoltaic networks under uncertainty. We sincerely thank all authors for their contributions and reviewers for ensuring scientific quality. We also appreciate the editorial staff of Energies for their support throughout the publication process. We hope this Special Issue serves as a valuable reference for researchers, engineers, policymakers, and practitioners in renewable energy, smart grids, and AI applications in power systems.

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