Results 41 to 50 of about 6,467 (228)

Distributionally Robust Game-Theoretic Optimization Algorithm for Microgrid Based on Green Certificate–Carbon Trading Mechanism

Energies
Aiming at multi-agent interest demands and environmental benefits, a distributionally robust game-theoretic optimization algorithm based on a green certificate–carbon trading mechanism is proposed for uncertain microgrids. At first, correlated wind–solar
Chen Wei, Pengyuan Zheng, Jiabin Xue, Guanglin Song, Dong Wang   +4 more
doaj   +1 more source

Distributionally robust co‐optimization of the demand‐side resources and soft open points allocation for the high penetration of renewable energy

IET Renewable Power Generation, 2022
The new technologies, such as soft open points (SOPs) and demand response (DR), offer original approaches to stabilize the system operation and accommodate the high penetration of distributed generators (DGs).
Hong Liu, Junkai Li, Shida Zhang, Shaoyun Ge, Baijie Yang, Chengshan Wang   +5 more
doaj   +1 more source

Distributionally robust optimization based chance-constrained energy management for hybrid energy powered cellular networks

Digital Communications and Networks, 2023
Energy harvesting has been recognized as a promising technique with which to effectively reduce carbon emissions and electricity expenses of base stations.
Pengfei Du, Hongjiang Lei, Imran Shafique Ansari, Jianbo Du, Xiaoli Chu   +4 more
doaj   +1 more source

Bootstrap Robust Prescriptive Analytics

, 2017
We address the problem of prescribing an optimal decision in a framework where its cost depends on uncertain problem parameters $Y$ that need to be learned from data.
Bertsimas, Dimitris, Van Parys, Bart
core   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

Optimization Scheduling of Integrated Energy Systems Considering Power Flow Constraints

Energies
To further investigate the complementary characteristics among subsystems of the combined electricity–gas–heat system (CEGHS) and to enhance the renewable energy accommodation capability, this study proposes a comprehensive optimization scheduling ...
Sheng Zou, Xuanjun Zong, Quan Chen, Wang Zhang, Hongwei Zhou   +4 more
doaj   +1 more source

Distributionally Robust Capacity Configuration for Energy Storage in Microgrid Considering Renewable Utilization

Frontiers in Energy Research, 2022
The energy storage plays an important role in the operation safety of the microgrid system. Appropriate capacity configuration of energy storage can improve the economy, safety, and renewable energy utilization of the microgrid.
Xin Ding, Hongyan Ma, Zheng Yan, Jie Xing, Jiatong Sun   +4 more
doaj   +1 more source

Infrared laser sampling of low volumes combined with shotgun lipidomics reveals lipid markers in palatine tonsil carcinoma

Molecular Oncology, EarlyView.
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff, Manuela Moritz, Dennis Eggert, Anna Worthmann, Joerg Heeren, Henrike Zech, Till S. Clauditz, Waldemar Wilczak, Hartmut Schlüter, Christian S. Betz, Arne Böttcher, Jan Hahn   +11 more
wiley   +1 more source

A hierarchical deep learning and distributionally robust framework for urban multi-energy systems

Results in Engineering
This paper presents a hierarchical optimization framework for distributed energy management in urban multi-energy systems that integrates deep learning-based forecasting with distributionally robust optimization.
Mohammad Heydari, Taher Niknam, Navid Parsa   +2 more
doaj   +1 more source

An Alternating Iteration Algorithm for a Parameter-Dependent Distributionally Robust Optimization Model

Mathematics, 2022
Based on a successive convex programming method, an alternating iteration algorithm is proposed for solving a parameter-dependent distributionally robust optimization. Under the Slater-type condition, the convergence analysis of the algorithm is obtained.
Shuang Lin, Jie Zhang, Nan Shi
doaj   +1 more source