Results 221 to 230 of about 1,749,971 (267)

Stochastic scheduling optimization of repetitive construction projects to minimize project duration and cost

International Journal of Construction Management, 2021
Considering risk and uncertainty during the scheduling optimization of repetitive construction projects is a challenging task. This article presents the development of a novel multi-objective stochastic scheduling optimization model for minimizing the ...
Abbas M. Hassan, K. El-Rayes, M. Attalla
semanticscholar   +1 more source

Output Feedback Stabilization of Networked Control Systems Under a Stochastic Scheduling Protocol

IEEE Transactions on Cybernetics, 2020
This paper investigates the output feedback stabilization problem for networked control systems under a stochastic scheduling protocol. First, an independent and identically distributed (i.i.d) scheduling protocol is introduced to orchestrate the signal ...
Jin Zhang, Chen Peng, Xiangpeng Xie, D. Yue   +3 more
semanticscholar   +1 more source

Data-Driven Risk-Averse Two-Stage Optimal Stochastic Scheduling of Energy and Reserve With Correlated Wind Power

IEEE Transactions on Sustainable Energy, 2020
This paper proposes a data-driven optimization method to solve the integrated energy and reserve dispatch problem with variable and correlated renewable energy generation.
Xiaoyuan Xu, Zheng Yan, M. Shahidehpour, Zhiyi Li, Mingyu Yan, Xiangrui Kong   +5 more
semanticscholar   +1 more source

Stochastic scheduling of a renewable-based microgrid in the presence of electric vehicles using modified harmony search algorithm with control policies

, 2020
Modern power systems are seeking for alternative energy sources will less emission to conventional fossil-fuel power plant to mitigate the global concerns on environmental issues.
Chanjuan Liu, S. Abdulkareem, A. Rezvani, S. Samad, N. Aljojo, L. K. Foong, Kentaro Nishihara   +6 more
semanticscholar   +1 more source

Stochastic Scheduling of Renewable and CHP-Based Microgrids

IEEE Transactions on Industrial Informatics, 2015
Manijeh Alipour, Behnam Mohammadi-Ivatloo, Kazem Zare   +2 more
exaly   +2 more sources

Multiobjective stochastic scheduling of upstream operations in a sustainable sugarcane supply chain

Journal of Cleaner Production, 2020
A typical supply chain is composed of three main echelons: upstream, mid-stream and downstream. In the case of sugarcane, the upstream echelon includes several activities, such as growth, harvest, and transportation to mills.
Marcela María Morales Chavez, William Sarache, Yasel Costa, J. M. Soto   +3 more
semanticscholar   +1 more source

Risk-based stochastic scheduling of energy hub system in the presence of heating network and thermal energy management

Applied Thermal Engineering, 2019
Energy hub as the future’s energy technology has discussed a new point of view in the energy consumption optimization field. The heating market as a new energy market, which is recently in some countries, presents a new venue for an energy hub operation.
M. Tian, A. Ebadi, K. Jermsittiparsert, M. Kadyrov, A. Ponomarev, Nima Javanshir, Sayyad Nojavan   +6 more
semanticscholar   +1 more source

Applying multiple types of demand response to optimal day‐ahead stochastic scheduling in the distribution network

, 2020
With the increasing power demand of end-users, demand side management has been an important resource to been applied to the optimal day-ahead scheduling of distribution network.
Jie Yang, Hongjun Gao, Shengyong Ye, Lin Lv, You-bo Liu, Junyong Liu   +5 more
semanticscholar   +1 more source

Optimal stochastic scheduling of cryogenic energy storage with wind power in the presence of a demand response program

Renewable Energy, 2019
This paper provides a stochastic method to conduct the optimal scheduling of the combination of wind power and new-type large-scale energy storage with considering the demand response program in the electricity market. The integration of ASU and CES make
F. Kalavani, B. Mohammadi-ivatloo, K. Zare   +2 more
semanticscholar   +1 more source

Learning-Based Grey Wolf Optimizer for Stochastic Flexible Job Shop Scheduling

IEEE Transactions on Automation Science and Engineering, 2022
This work considers a stochastic flexible job shop scheduling with limited extra resources and machine-dependent setup time in a semiconductor manufacturing environment, which is an NP-hard problem.
Chengran Lin, Zhengcai Cao, Mengchu Zhou
semanticscholar   +1 more source