Results 21 to 30 of about 6,467 (228)

Distributionally Robust Distributed Generation Hosting Capacity Assessment in Distribution Systems

Energies, 2018
Uncertainties associated with the loads and the output power of distributed generations create challenges in quantifying the integration limits of distributed generations in distribution networks, i.e., hosting capacity.
Mohammad Seydali Seyf Abad, Jin Ma, Ahmad Shabir Ahmadyar, Hesamoddin Marzooghi   +3 more
doaj   +1 more source

Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations

, 2017
We consider stochastic programs where the distribution of the uncertain parameters is only observable through a finite training dataset. Using the Wasserstein metric, we construct a ball in the space of (multivariate and non-discrete) probability ...
Esfahani, Peyman Mohajerin, Kuhn, Daniel
core   +1 more source

Distributionally robust optimization for integrated energy distribution network considering vine Copula uncertainty of wind power, photovoltaic and demand side response

Diance yu yibiao
In order to adapt to the uncertainty of new energy, increase new energy consumption and reduce carbon emissions, an optimal scheduling model of integrated energy distribution network system is proposed based on vine Copula considering three uncertainties
YANG Mingjie, HU Yangyu, QIAN Haixia, LIU Fang, WANG Xingkai, XIAO Yuxiang   +5 more
doaj   +1 more source

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

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

Distributionally Robust Games with Risk-averse Players

, 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

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 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

Structural biology of ferritin nanocages

FEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source