The fast-growing rate of expansion of the urban landscape has posed challenges for modern-day smart cities' infrastructures, which require not only efficiency but also resilience against any unexpected disruptions. Conventional control system models simply do not cope well with the complex dynamics of ever-evolving cit...
Lalit Sachdeva, U. Anand· 2026 7th International Confe...· 0 citations
6G edge networks are changing extremely quickly, and will require smart, real-time control of distributed information while keeping user data confidential. Centralized Learning methods will have adverse impacts due to additional processing, additional communication, and additional data exposure. This paper tackles thes...
Priyanka Singh, U. Anand· 2026 7th International Confe...· 0 citations
A hybrid energy storage system (HESS) coupled with an AI energy management system (EMS) that uses deep reinforcement learning (DRL) for optimal scheduling of renewable energy utilization within grid-connected and islanded microgrids.
Lalit Sachdeva, U. Anand· Energy Storage and Conversio...· 0 citations
The rapid advancement of intelligent networking technologies, such as 6G systems, the Internet of Things (IoT), and edge-enabled communication technologies, raises multiple challenges regarding user data privacy, network reliability, and automated self-healing mechanisms for quickly fixing network failures. A classical...
Lalit Sachdeva, Utkarsh Anand· International Conference Com...· 0 citations
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