Author

Hossein Lotfi

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Open access Aug 2026

A Data-Driven Risk-Informed Computational Framework for Distribution Network Reconfiguration Under High Photovoltaic Penetration

Results demonstrate that the proposed DQN-based reconfiguration approach can enhance voltage profiles and reduce power losses under high PV penetration, highlighting the importance of considering uncertainty-driven risk assessment in computational decision-making for modern active distribution networks.

Hossein Lotfi · Computation · 0 citations

Open access Aug 2026

Optimal Scheduling of Interconnected Multi-Carrier Energy Hubs with Multi-Type Energy Storage, Demand Response, and Electric Vehicles

The coordinated operation of interconnected multi-carrier energy hubs is a key enabler of cost-efficient and flexible energy management in modern smart cities. This paper develops a comprehensive optimization framework for the day-ahead scheduling of interconnected energy hubs in residential and commercial sectors. The...

Hossein Lotfi, Mahdi Samadi, Hossein Ramezani · World Electric Vehicle Journ... · 0 citations