An energy efficient cyber-resilient control framework for solar microgrids equipped with the IoT using Hierarchical Multi-Agent Reinforcement Learning, Federated Evolutionary Optimization, and Digital Twin-assisted predictive intelligence to achieve the secure, intelligent, and energy efficient functioning of next-generation smart solar microgrids.
A digital twin-driven federated multi-agent intelligence (DT-FMAI) framework that integrates virtual system synchronization, privacy-preserving distributed learning, and cooperative multi-agent control within a unified architecture is proposed.
Pushpa Sreenivasan, K. Gattaiah, N. Hemalatha et al.· International Journal of Pow...· 0 citations
The rise of renewable energy systems has driven the need for more intelligent techniques to enhance efficiency, reliability, and sustainability in a DC solar microgrid. This paper presents a framework of adaptive predictive energy optimization (APEO) algorithm-driven intelligent energy management and predictive fault d...
S. Saravanan, T. Sudhakar, B. Shuriya et al.· 2026 International Conferenc...· 0 citations
Smart grid incorporates the use of renewable energy, distributed generation, energy storage, and demand response for enhancing efficiency and sustainability. However, smart grid operation is challenging because of uncertainty of renewable generation, fluctuating electricity prices, changing consumer demand, and the req...
Sathiyamoorthy M· 2026 International Conferenc...· 0 citations
This study explores the technical and economic potential of IoT-enabled smart microgrids as
a sustainable solution for off-grid rural electrification in Sub-Saharan Africa. Using a
thematic, literature-based approach, the research investigates how smart microgrids—
integrating renewable energy sources such as solar wit...
Joyce Odu Okafor· WORLD JOURNAL OF INNOVATION...· 0 citations
This work presents a multi-mode energy harvesting-assisted edge computing architecture, integrated with a joint optimization of energy consumption and communication behaviour, aimed at enhancing the sustainability, reliability and autonomy of operation in an industrial IoT context.
Dr. Deepa, M. Mehfooza, Padmavathy Thiruppathi Raj· Microsystem Technologies· 0 citations
The transition toward decentralized, digitalized power systems creates new opportunities for integrating distributed generation, energy storage, and large-scale electric vehicle (EV) infrastructure within smart grid architectures. This study examines cold ironing, the supply of shore-side electricity to berthed vessels...
N. Sifakis, Dimitrios Cholidis, George Arampatzis· Frontiers in Energy Research· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
