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Active-reactive power scheduling of integrated electricity-gas network with multi-microgrids

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 251-265 doi: 10.1007/s11708-022-0857-1

Abstract: coupling between electricity and gas networks, promoting the development of the integrated electricity-gas networkand strengthening the interaction between the active-reactive power flow in the power distribution network(PDN) and the natural gas flow in the gas distribution network (GDN).This paper proposes a day-ahead active-reactive power scheduling model for the IEGN with multi-microgridsthe effectiveness of the proposed scheduling method.

Keywords： combined cooling     heating     and power (CCHP)     integrated energy systems (IES)     natural gas     power distribution system     gas distribution system    

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Linear programming method with LR type fuzzy numbersfor network scheduling

Gao Peng,Feng Junwen

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 70-74

Abstract:

Estimation of activity duration is a basic problem for project scheduling

Keywords： network scheduling     fuzzy linear programming     activity    

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Negative weights in network time model

Zoltán A. VATTAI, Levente MÁLYUSZ

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 268-280 doi: 10.1007/s42524-020-0109-1

Abstract: Previous network techniques (CPM/PERT/PDM) did not support negative parameters and/or loops (potentiallyMonsieur Roy and John Fondahl implicitly introduced negative weights into network techniques to representincorporating the dynamic model of the inner logic of time plan), and a surprisingly flexible and handy networkreview the theoretical possibilities and technical interpretations (and use) of negative weights in network

Keywords： graph technique     network technique     construction management     scheduling    

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Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complex

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10,   Pages 1516-1532 doi: 10.1007/s11705-022-2283-7

Abstract: This paper focuses on the integrated problem of long-term planning and short-term scheduling in a large-scaleDifferent time scales are incorporated from the planning and scheduling subproblems.time representation is applied to the planning subproblem, while continuous time is applied to the schedulingTo solve the problem efficiently, a heuristic algorithm combined with a convolutional neural networkonly illustrate the detailed operations in a refinery and petrochemical complex under planning and scheduling

Keywords： planning     scheduling     refinery-petrochemical     convolutional neural network     heuristic algorithm    

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Optimal generation scheduling in power system using frequency prediction through ANN under ABT environment

Simarjit KAUR, Yajvender Pal VERMA, Sunil AGRAWAL

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 468-478 doi: 10.1007/s11708-013-0282-6

Abstract: generation in balance with the load demand, which creates a need for the precise real time generation schedulingsolved to perform the unit commitment (UC) based on frequency prediction by using artificial neural network

Keywords： artificial neural network (ANN)     frequency prediction     availability-based tariff (ABT)     generation scheduling    

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Development and challenges of planning and scheduling for petroleum and petrochemical production

Fupei LI, Minglei YANG, Wenli DU, Xin DAI

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 373-383 doi: 10.1007/s42524-020-0123-3

Abstract: Production planning and scheduling are becoming the core of production management, which support theThe optimization of production planning and scheduling is attempted by every refinery because it gainsresearch with mathematical programming is a conventional approach used to address the planning and schedulingThis paper introduces the perspective of production planning and scheduling from the development viewpoint

Keywords： planning and scheduling     optimization     modeling    

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Lessons learned from developing and implementing refinery production scheduling technologies

Marcel JOLY, Mario Y. MIYAKE

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 325-337 doi: 10.15302/J-FEM-2017033

Abstract: novel and highly specialized computer-aided decision-making technologies for short-term production schedulingimplemented in an energy company devoted to developing and implementing an advanced refinery production scheduling

Keywords： automation     decision making     oil refinery     optimization     production scheduling    

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A review of intelligent optimization for group scheduling problems in cellular manufacturing

Frontiers of Engineering Management   Pages 406-426 doi: 10.1007/s42524-022-0242-0

Abstract: productivity, and enhance the flexibility of manufacturing, especially cellular manufacturing, group schedulingare given for outspread problems and problem algorithms for future research in the fields of group scheduling

Keywords： cellular manufacturing     group scheduling     flowshop     literature review    

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A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 338-350 doi: 10.1007/s11465-019-0572-8

Abstract: In this paper, a two-stage low-carbon scheduling optimization method of job shop is presented as part

Keywords： Low-carbon manufacturing     carbon efficiency     multi-objective optimization     two-stage scheduling     job shop    

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A Fast Charging–Cooling Coupled Scheduling Method for a Liquid Cooling-Based Thermal Management System Article

Siqi Chen, Nengsheng Bao, Akhil Garg, Xiongbin Peng, Liang Gao

Engineering 2021, Volume 7, Issue 8,   Pages 1165-1176 doi: 10.1016/j.eng.2020.06.016

Abstract: In order to address this problem, an efficient fast charging–cooling scheduling method is urgentlyA neural network-based regression model was proposed based on 81 sets of experimental data, which consisted

Keywords： Lithium-ion battery module     Fast-charging     Neural network regression     Scheduling     State of charge    

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Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 202-213 doi: 10.15302/J-FEM-2017024

Abstract: Understanding the holistic relationship between refinery production scheduling (RPS) and the cyber-physicalproduction environment with smart scheduling is a new question posed in the study of process systemsstate-of-the-art RSPs in the crude-oil refining field and present examples that illustrate how smart scheduling

Keywords： cyber-physical systems     optimization     petrochemical industry     scheduling     smart manufacturing    

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Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 519-531 doi: 10.1631/FITEE.1400399

Abstract: In this paper, we propose an energy-aware scheduling algorithm with equalized frequency, called EASEF

Keywords： Directed acyclic graph     Dynamic voltage scaling     Energy aware     Heterogeneous systems     Task scheduling    

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Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 5,   Pages 777-786 doi: 10.1007/s11783-013-0537-9

Abstract: A hydraulic model-based emergency scheduling Decision Support System (DSS) is designed to eliminate themodules, including water quality prediction, system safety assessment, emergency strategy inference and schedulingOtherwise, a Genetic Algorithm (GA)-based optimization model will be used to find the least-cost schedulingThrough scenario analysis, it is demonstrated that this DSS tool is instrumental in emergency scheduling

Keywords： decision support system     raw water supply system     contamination incident     emergency scheduling     hydraulic    

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Resource Management and Scheduling for Satellite Internet

Wang Longhe , Zhou Yiqing , Cao Huan , Liu Zifan , Chen Yan , Chen Daojin , Shi Jinglin

Strategic Study of CAE 2023, Volume 25, Issue 6,   Pages 27-38 doi: 10.15302/J-SSCAE-2023.06.004

Abstract: terrestrial communication systems, plays a key role in the space–air–ground integrated networksatellite Internet resource management, including the primary stages of satellite – ground networkTo realize the intelligent and efficient management and scheduling of satellite Internet resources, we should focus on the network characteristics such as resource heterogeneity, dynamic changeof network structure, and differentiated service requirements, implement satellite Internet resource

Keywords： satellite Internet     resource management and scheduling     space ‒ air ‒ ground integrated network     dynamic    

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Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 507-514 doi: 10.15302/J-FEM-2018045

Abstract:

The NP-hard scheduling problems of semiconductor manufacturing systems (SMSs) are further complicatedReactive scheduling is a common dynamic scheduling approach where the scheduling scheme is refreshedThe scheduling scheme is overly sensitive to the emergence of uncertainties because the optimizationTo improve the robustness of the scheduling scheme, we propose a novel slack-based robust schedulingSimulation results show that the proposed SR can effectively improve the robustness of the scheduling

Keywords： semiconductor manufacturing system     uncertain processing time     dynamic scheduling     slack-based robust scheduling    

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Title Author Date Type Operation

Active-reactive power scheduling of integrated electricity-gas network with multi-microgrids

Journal Article

Linear programming method with LR type fuzzy numbersfor network scheduling

Gao Peng,Feng Junwen

Journal Article

Negative weights in network time model

Zoltán A. VATTAI, Levente MÁLYUSZ

Journal Article

Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complex

Journal Article

Optimal generation scheduling in power system using frequency prediction through ANN under ABT environment

Simarjit KAUR, Yajvender Pal VERMA, Sunil AGRAWAL

Journal Article

Development and challenges of planning and scheduling for petroleum and petrochemical production

Fupei LI, Minglei YANG, Wenli DU, Xin DAI

Journal Article

Lessons learned from developing and implementing refinery production scheduling technologies

Marcel JOLY, Mario Y. MIYAKE

Journal Article

A review of intelligent optimization for group scheduling problems in cellular manufacturing

Journal Article

A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

Journal Article

A Fast Charging–Cooling Coupled Scheduling Method for a Liquid Cooling-Based Thermal Management System

Siqi Chen, Nengsheng Bao, Akhil Garg, Xiongbin Peng, Liang Gao

Journal Article

Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

Journal Article

Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Journal Article

Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

Journal Article

Resource Management and Scheduling for Satellite Internet

Wang Longhe , Zhou Yiqing , Cao Huan , Liu Zifan , Chen Yan , Chen Daojin , Shi Jinglin

Journal Article

Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Journal Article