화학공학소재연구정보센터
검색결과 : 27건
No. Article
1 Optimal utility supply network under demand uncertainty for operational risk assessment on a petrochemical industrial park
Vilela P, Heo SK, Hwangbo SH, Yoo CK
Korean Journal of Chemical Engineering, 37(7), 1116, 2020
2 Enhancing photovoltaic hosting capacity-A stochastic approach to optimal planning of static var compensator devices in distribution networks
Xu X, Li JY, Xu Z, Zhao J, Lai CS
Applied Energy, 238, 952, 2019
3 Predictive management for energy supply networks using photovoltaics, heat pumps, and battery by two-stage stochastic programming and rule-based control
Wakui T, Sawada K, Yokoyama R, Aki H
Energy, 179, 1302, 2019
4 Optimal sizing of energy storage systems under uncertain demand and generation
Bucciarelli M, Paoletti S, Vicino A
Applied Energy, 225, 611, 2018
5 Design of distributed energy systems under uncertainty: A two-stage stochastic programming approach
Mavromatidis G, Orehounig K, Carmeliet J
Applied Energy, 222, 932, 2018
6 A stochastic programming approach toward optimal design and planning of an integrated green biodiesel supply chain network under uncertainty: A case study
Ghelichi Z, Saidi-Mehrabad M, Pishvaee MS
Energy, 156, 661, 2018
7 Comparison of alternative decision-making criteria in a two-stage stochastic program for the design of distributed energy systems under uncertainty
Mavromatidis G, Orehounig K, Carmeliet J
Energy, 156, 709, 2018
8 A novel stochastic energy management of a microgrid with various types of distributed energy resources in presence of demand response programs
Farsangi AS, Hadayeghparast S, Mehdinejad M, Shayanfar H
Energy, 160, 257, 2018
9 GHG-mitigation oriented and coal-consumption constrained inexact robust model for regional energy structure adjustment A case study for Jiangsu Province, China
Ji L, Zhang BB, Huang GH, Xie YL, Niu DX
Renewable Energy, 123, 549, 2018
10 An inexact optimization model for regional electric system steady operation management considering integrated renewable resources
Zhen JL, Huang GH, Li W, Liu ZP, Wu CB
Energy, 135, 195, 2017