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20182025
most citedDeep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions

204 citations

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4 papers · 1 filter

math.OC2025★ 2 cited

Dynamic Modeling and Control of Multi-Stack Alkaline Water Electrolysis Systems with Shared Gas Separators and Lye Circulation:Industrial Data-Based Validation and Simulation

Yiwei Qiu, Jiatong Li, Yangjun Zeng +7

An emerging approach for large-scale renewable hydrogen production is integrating multiple alkaline water electrolysis (AWE) stacks into one balance-of-plant (BoP) system, sharing…

math.OC2023★ 48 cited

Non-Iterative Solution for Coordinated Optimal Dispatch via Equivalent Projection-Part II: Method and Applications

Zhenfei Tan, Zheng Yan, Haiwang Zhong +1

This two-part paper develops a non-iterative coordinated optimal dispatch framework, i.e., free of iterative information exchange, via the innovation of the equivalent projection (…

math.OC2023★ 44 cited

Non-Iterative Solution for Coordinated Optimal Dispatch via Equivalent Projection-Part I: Theory

Zhenfei Tan, Zheng Yan, Haiwang Zhong +1

Coordinated optimal dispatch is of utmost importance for the efficient and secure operation of hierarchically structured power systems. Conventional coordinated optimization method…

math.OC2023★ 28 cited

A computationally efficient Benders decomposition for energy systems planning problems with detailed operations and time-coupling constraints

Anna Jacobson, Filippo Pecci, Nestor Sepulveda +2

Energy systems planning models identify least-cost strategies for expansion and operation of energy systems and provide decision support for investment, planning, regulation, and p…