Results 41 to 50 of about 6,180 (210)

Cooperative Operation Optimization for Multi-region Hydrogen-Integrated Integrated Energy System Based on Hybrid Wasserstein Two-Stage Distributionally Robust

open access: yesZhongguo dianli
An integrated energy system (IES) coupled with hydrogen energy is significantly influenced by source-load uncertainties when operating alone. Traditional robust optimization techniques are overly conservative, which impedes the economic performance.
Xiaoqiang DING, Zhi YUAN, Ji LI
doaj   +1 more source

Distributionally Robust Low-Carbon Scheduling Model for Virtual Power Plants Considering Emerging Distributed Resources and Electricity Carbon Trading [PDF]

open access: yesDianli jianshe
[Objective] To improve the low-carbon economic performance of scheduling strategies for virtual power plants, this study proposes a distributionally robust low-carbon scheduling model that incorporates emerging distributed resources and electricity ...
WANG Jiayi, HE Shuaijia
doaj   +1 more source

Distributionally Robust Games with Risk-averse Players

open access: yes, 2016
We present a new model of incomplete information games without private information in which the players use a distributionally robust optimization approach to cope with the payoff uncertainty.
Loizou, Nicolas
core   +1 more source

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül   +2 more
wiley   +1 more source

Sinkhorn Distributionally Robust Conditional Quantile Prediction with Fixed Design

open access: yesEntropy
This paper proposes a novel data-driven distributionally robust framework for conditional quantile prediction under the fixed design setting of the covariates, which we refer to as Sinkhorn distributionally robust conditional quantile prediction.
Guohui Jiang, Tiantian Mao
doaj   +1 more source

Flow-Based Distributionally Robust Optimization

open access: yesIEEE Journal on Selected Areas in Information Theory
IEEE Journal on Selected Areas in Information Theory (JSAIT).
Chen Xu   +3 more
openaire   +2 more sources

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

open access: yesFEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho   +3 more
wiley   +1 more source

Bidding strategy for virtual power plants with the day-ahead and balancing markets using distributionally robust optimization approach

open access: yesEnergy Reports, 2023
Virtual power plant (VPP) coordinates the energy consumption or production of its components and trades power in both day-ahead market (DAM) and balancing market (BM) to maximize operating margins, where consists of intermittent distributed generation ...
Chunning Song, Xiping Jing
doaj   +1 more source

Data-driven Variable Speed Limit Design for Highways via Distributionally Robust Optimization

open access: yes, 2018
This paper introduces an optimization problem (P) and a solution strategy to design variable-speed-limit controls for a highway that is subject to traffic congestion and uncertain vehicle arrival and departure.
Fooladivanda, Dariush   +2 more
core   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy