The Synergy of Sustainability, Intelligent Methods, and Smart Grid Applications DOI
Latifa Dekhici, Khaled Guerraiche, Karima Belmabrouk

и другие.

Advances in business information systems and analytics book series, Год журнала: 2024, Номер unknown, С. 119 - 148

Опубликована: Ноя. 29, 2024

This chapter explores the convergence of sustainability, intelligent methods, and smart grids as a solution to escalating energy demands environmental concerns 21st century. It investigates how grids, empowered by machine learning, artificial intelligence, other advanced techniques, can create more efficient environmentally friendly ecosystem. Key applications in load forecasting, demand management, renewable integration, grid optimization are examined. The acknowledges challenges like resource intensity data privacy, advocating for robust regulations responsible development ensure equitable access benefits. Ultimately, it presents comprehensive analysis this synergy, aiming equip readers with knowledge navigate complexities landscape build sustainable future.

Язык: Английский

Optimization Techniques for Low-Level Control of DC–AC Converters in Renewable-Integrated Microgrids: A Brief Review DOI Creative Commons
Guilherme Vieira Hollweg, Gajendra Singh Chawda, Shivam Chaturvedi

и другие.

Energies, Год журнала: 2025, Номер 18(6), С. 1429 - 1429

Опубликована: Март 13, 2025

The optimization of low-level control for DC–AC power converters is crucial enhancing efficiency, stability, and adaptability in modern systems. With the increasing penetration renewable energy sources shift toward decentralized grid architectures, advanced strategies are needed to address challenges such as reduced system inertia dynamic operating conditions. This paper provides a concise review key techniques control, highlighting their advantages, limitations, applicability. Additionally, emerging trends, artificial intelligence (AI)-based real-time algorithms hybrid approaches, explored potential enablers next generation conversion Notably, no single optimized technique universally outperforms others, each involves trade-offs mathematical complexity, robustness, computational burden, implementation feasibility. Therefore, selecting most appropriate strategy requires thorough understanding specific application constraints.

Язык: Английский

Процитировано

0

The Synergy of Sustainability, Intelligent Methods, and Smart Grid Applications DOI
Latifa Dekhici, Khaled Guerraiche, Karima Belmabrouk

и другие.

Advances in business information systems and analytics book series, Год журнала: 2024, Номер unknown, С. 119 - 148

Опубликована: Ноя. 29, 2024

This chapter explores the convergence of sustainability, intelligent methods, and smart grids as a solution to escalating energy demands environmental concerns 21st century. It investigates how grids, empowered by machine learning, artificial intelligence, other advanced techniques, can create more efficient environmentally friendly ecosystem. Key applications in load forecasting, demand management, renewable integration, grid optimization are examined. The acknowledges challenges like resource intensity data privacy, advocating for robust regulations responsible development ensure equitable access benefits. Ultimately, it presents comprehensive analysis this synergy, aiming equip readers with knowledge navigate complexities landscape build sustainable future.

Язык: Английский

Процитировано

0