Search Results - "stochastic mixed-integer nonlinear programming problem"

Optimal stochastic scheduling of CHP-PEMFC, WT, PV units and hydrogen storage in reconfigurable micro grids considering reliability enhancement by Bornapour, Mosayeb, Hooshmand, Rahmat-Allah, Khodabakhshian, Amin, Parastegari, Moein

“…•Stochastic model is proposed for coordinated scheduling of renewable energy sources.•The effect of combined heat and power is considered.•Uncertainties of…”
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Optimal Location Planning of Renewable Distributed Generation Units in Distribution Networks: An Analytical Approach by Zhang, Chaorui, Li, Jiayong, Zhang, Ying Jun, Xu, Zhao

“… In presence of the random uncertainties, location planning problem is naturally a two-stage stochastic mixed integer nonlinear programming problem, which is hard to solve efficiently…”
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Two-stage data-driven dispatch for integrated power and natural gas systems by using stochastic model predictive control by Zhao, Yuehao, Li, Zhiyi, Ju, Ping, Zhou, Yue

“…•A two-stage dispatch strategy for IPGS by using stochastic MPC is proposed.•Data-driven chance-constrained dispatch strategy is proposed to prevent adverse…”
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Dynamic Task Offloading and Resource Allocation for Mobile-Edge Computing in Dense Cloud RAN by Zhang, Qi, Gui, Lin, Hou, Fen, Chen, Jiacheng, Zhu, Shichao, Tian, Feng

“…With the unprecedented development of smart mobile devices (SMDs), e.g., Internet-of-Things devices and smartphones, various computation-intensive applications…”
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Improved management of water resources in process industry by accounting for fluctuations of water content in feed streams and products by Ferrucci, Aurelio, Vocciante, Marco

“…•Fluctuating waters are of primary importance for several water-consuming industries.•Common strategies not consider fluctuating water, limiting the overall…”
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Semi-Asynchronous Federated Split Learning for Computing-Limited Devices in Wireless Networks by Ao, Huiqing, Tian, Hui, Ni, Wanli, Nie, Gaofeng, Niyato, Dusit

“…The rapid evolution of edge computing and artificial intelligence (AI) paves the way for pervasive intelligence in the next-generation network. As a hybrid…”
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Resource allocation and model split for energy-efficient federated split learning in Internet of Vehicles with imperfect CSI by Hu, Youqiang

“…Vehicular federated learning is able to deal with the data shortage dilemma in practical Artificial Intelligence (AI) projects in Internet of Vehicles (IoV)…”
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Optimal Location Planning of Renewable Distributed Generation Units in Distribution Networks: An Analytical Approach by ZHANG, Chaorui, LI, Jiayong, ZHANG, Ying-jun Angela, XU, Zhao

“… In presence of the random uncertainties, location planning problem is naturally a two-stage stochastic mixed integer nonlinear programming problem, which is hard to solve efficiently…”
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Energy-Source-Aware Cost Optimization for Green Cellular Networks with Strong Stability by Liao, Weixian, Li, Ming, Salinas, Sergio, Li, Pan, Pan, Miao

“…Last decade witnessed the explosive growth in mobile devices and their traffic demand, and thereby the significant increase in the energy cost of the cellular…”
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Power Efficient Resource Allocation for ISAC: Combing Lyapunov Optimization and DRL by Wang, Haodong, Wang, Zifan, Chen, Yawen, Lu, Zhaoming, Wen, Xiangming

“…Radar and wireless communication systems are two important applications of modern electromagnetic theory. However, the serious shortage of spectrum resources…”
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Control and Optimization for Renewable Energy Planning and Operation Involving Uncertainty in Smart Grids by Zhang, Chaorui

“…With large-scale deployment of renewable resources, the power systems are evolving to a horizontal structure with multiple supplies and interoperable power…”
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Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems by Li, Can

“…This thesis addresses two challenging problems. The first part is focused on developing algorithms and software for two-stage stochastic mixed-integer nonlinear programming problems (SMINLPs…”
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A decomposition-based solution method for stochastic mixed integer nonlinear programs by Bruni, Maria Elena

“… It describes one of the very few existing implementations of a method for solving stochastic mixed integer nonlinear programming problems based on deterministic global optimization…”
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