Results 61 to 70 of about 8,860,352 (207)
Distributionally robust halfspace depth
Tukey's halfspace depth can be seen as a stochastic program and as such it is not guarded against optimizer's curse, so that a limited training sample may easily result in a poor out-of-sample performance. We propose a generalized halfspace depth concept relying on the recent advances in distributionally robust optimization, where every halfspace is ...
Ivanovs, Jevgenijs, Mozharovskyi, Pavlo
openaire +2 more sources
Data-driven Distributionally Adjustable Robust Chance-constrained DG Capacity Assessment
Moving away from fossil fuels towards renewable sources requires system operators to determine the capacity of distribution systems to safely accommodate green and distributed generation (DG).
Masoume Mahmoodi +4 more
doaj +1 more source
Distributionally Robust Low-Carbon Scheduling Model for Virtual Power Plants Considering Emerging Distributed Resources and Electricity Carbon Trading [PDF]
[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
Semi-supervised Learning based on Distributionally Robust Optimization
We propose a novel method for semi-supervised learning (SSL) based on data-driven distributionally robust optimization (DRO) using optimal transport metrics.
Balsubramani A. +12 more
core +1 more source
Front distribution centers are extensively employed in E-commerce distribution networks to shorten the delivery time, thereby stimulating customers’ purchase intentions and enhancing customer loyalty. When a customer places an order, the designated front
Haodong Feng
doaj +1 more source
This paper proposes a distributed data-driven distributionally robust volt/var control (DDDR-VVC) approach which schedules on-load-tap changer (OLTC), capacitor banks (CBs) and Photovoltaic (PV) inverters coordinately.
Peishuai Li +4 more
doaj +1 more source
Data-driven Variable Speed Limit Design for Highways via Distributionally Robust Optimization
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
The widespread integration of renewable energy sources (RESs) has presented significant challenges in deregulated power markets. The inherent uncertainty of RES poses challenges for clearing cross-temporal and cross-regional transactions, manifesting as ...
Yuhan Huang +6 more
doaj +1 more source
A distributionally robust optimization approach for two-stage facility location problems
In this paper, we consider a facility location problem where customer demand constitutes considerable uncertainty, and where complete information on the distribution of the uncertainty is unavailable.
Arash Gourtani +2 more
doaj +1 more source
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 +4 more
doaj +1 more source

