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An IGDT-based robust optimization model for optimal operational planning of cooperative microgrid clusters: A normal boundary intersection multi-objective approach

, 2021
Economical and reliable energy management of isolated networked microgrids (NMGs) is a vital task on operators to optimally preserve system sustainability and security under severe uncertainties.
Seyed Ehsan Ahmadi, N. Rezaei
semanticscholar   +1 more source

Operational planning of integrated urban freight logistics combining passenger and freight flows through mathematical programming

Journal of Intelligent Transportation Systems / Taylor & Francis, 2023
Recently, more environmentally friendly urban logistics (UL) services have emerged based on the integration of freight deliveries into passenger bus networks to perform UL activities within cities.
Bruno Machado   +2 more
semanticscholar   +1 more source

Operational Planning of Centralized Charging Stations Utilizing Second-Life Battery Energy Storage Systems

IEEE Transactions on Sustainable Energy, 2021
Centralized Charging Station (CCS) provides a convenient charging and maintenance platform for providing battery charging and delivery services to serve Electric Vehicles (EVs)’ battery swapping demands at battery swapping points.
Youjun Deng   +3 more
semanticscholar   +1 more source

Model based planning and flexible scheduling of robotic assembly operations

Proceedings. 1991 IEEE International Conference on Robotics and Automation, 2002
Model-based planning of robotic assembly starts with the CAD description of a product. Together with such assembly-related information as tool requirements and fixture specifications, a planning system derives the ordering constraints among the tasks necessary for product assembly.
Remo R. Bless, Markus A. Müller
openaire   +1 more source

Model-based optimal optical network planning and operations

2006 Optical Fiber Communication Conference and the National Fiber Optic Engineers Conference, 2006
LDI Oasys for optimal optical network planning and traffic engineering handles uncertain traffic forecasts, dynamic complex constraints, and customizable business objectives. In pilot applications, Oasys reduced equipment cost by 35% and increased revenue by 26%.
M. Dalal, A. Prieditis, B. Mukherjee
openaire   +1 more source

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