Results 41 to 50 of about 6,626 (272)

A Wasserstein-based distributionally robust neural network for non-intrusive load monitoring

Frontiers in Energy Research, 2023
Non-intrusive load monitoring (NILM) is a technique that uses electrical data analysis to disaggregate the total energy consumption of a building or home into the energy consumption of individual appliances. To address the data uncertainty problem in non-
Qing Zhang, Qing Zhang, Yi Yan, Fannie Kong, Shifei Chen, Linfeng Yang, Linfeng Yang   +6 more
doaj   +1 more source

Data-driven Inverse Optimization with Imperfect Information

, 2017
In data-driven inverse optimization an observer aims to learn the preferences of an agent who solves a parametric optimization problem depending on an exogenous signal.
Esfahani, Peyman Mohajerin, Hanasusanto, Grani Adiwena, Kuhn, Daniel, Shafieezadeh-Abadeh, Soroosh   +3 more
core   +1 more source

Semi-supervised Learning based on Distributionally Robust Optimization

, 2019
We propose a novel method for semi-supervised learning (SSL) based on data-driven distributionally robust optimization (DRO) using optimal transport metrics.
Balsubramani A., Blanchet J.H., Blum A., Ghosh S., Grandvalet Y., Luenberger D.G., Namkoong H., Rubner Y., Shafieezadeh‐Abadeh S., Villani C., Volpi R., Xu H., Zhu X.   +12 more
core   +1 more source

Cardinality-constrained distributionally robust portfolio optimization

European Journal of Operational Research, 2023
This paper studies a distributionally robust portfolio optimization model with a cardinality constraint for limiting the number of invested assets. We formulate this model as a mixed-integer semidefinite optimization (MISDO) problem by means of the moment-based ambiguity set of probability distributions of asset returns.
Ken Kobayashi, Yuichi Takano, Kazuhide Nakata   +2 more
openaire   +3 more sources

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

Zhongguo 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

Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems [PDF]

, 2020
Learning-based control algorithms require data collection with abundant supervision for training. Safe exploration algorithms ensure the safety of this data collection process even when only partial knowledge is available.
Anandkumar, Anima, Chung, Soon-Jo, Liu, Anqi, Nakka, Yashwanth Kumar, Shi, Guanya, Yue, Yisong   +5 more
core   +1 more source

Distributionally Robust Optimization with Moment Ambiguity Sets

Journal of Scientific Computing, 2022
AbstractThis paper studies distributionally robust optimization (DRO) when the ambiguity set is given by moments for the distributions. The objective and constraints are given by polynomials in decision variables. We reformulate the DRO with equivalent moment conic constraints.
Jiawang Nie, Liu Yang, Suhan Zhong, Guangming Zhou   +3 more
openaire   +3 more sources

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

Dianli 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

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski, Rebecca Ronsley, Shannon M. Stasi, Jeffrey Stevens, Erin R. Rudzinski, Christina M. Lockwood, Sarah E. S. Leary, Bonnie L. Cole, Michelle A. Ting, Vera Paulson   +9 more
wiley   +1 more source

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

FEBS 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, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source