Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Shen, Xinwei"'
The increasing frequency of extreme weather events has posed significant risks to the operation of power grids. During long-duration extreme weather events, microgrid formation (MF) is an essential solution to enhance the resilience of the distributi
Externí odkaz:
http://arxiv.org/abs/2405.20733
In this paper, we propose a two-stage robust planning model for an Integrated Energy System (IES) that serves an industrial park. The term 'Park-level IES' is used to refers to IES of a smaller scale but have high demands for various forms of energy.
Externí odkaz:
http://arxiv.org/abs/2404.19415
Autor:
Shen, Xinwei, Meinshausen, Nicolai
Dimension reduction techniques usually lose information in the sense that reconstructed data are not identical to the original data. However, we argue that it is possible to have reconstructed data identically distributed as the original data, irresp
Externí odkaz:
http://arxiv.org/abs/2404.13649
This paper proposes a collaborative planning model for the active distribution network (ADN) and electric vehicle (EV) charging stations that fully considers the vehicle-to-grid (V2G) function and reactive power support of EVs in different regions. T
Externí odkaz:
http://arxiv.org/abs/2312.16258
In recent years, there has been a growing interest in statistical methods that exhibit robust performance under distribution changes between training and test data. While most of the related research focuses on point predictions with the squared erro
Externí odkaz:
http://arxiv.org/abs/2309.10083
Increasing attention has been paid to resources on islands, thus microgrids on islands need to be invested. Different from onshore microgrids, offshore microgrids (OM) are usually abundant in ocean renewable energy (ORE), such as offshore wind, tidal
Externí odkaz:
http://arxiv.org/abs/2308.05941
Since distribution shifts are common in real-world applications, there is a pressing need for developing prediction models that are robust against such shifts. Existing frameworks, such as empirical risk minimization or distributionally robust optimi
Externí odkaz:
http://arxiv.org/abs/2307.10299
Autor:
Shen, Xinwei, Meinshausen, Nicolai
Distributional regression aims to estimate the full conditional distribution of a target variable, given covariates. Popular methods include linear and tree-ensemble based quantile regression. We propose a neural network-based distributional regressi
Externí odkaz:
http://arxiv.org/abs/2307.00835
With the development of offshore wind farms (OWFs) in far-offshore and deep-sea areas, each OWF could contain more and more wind turbines and cables, making it imperative to study high-reliability electrical collector system (ECS) for OWF. Enlightene
Externí odkaz:
http://arxiv.org/abs/2304.03966
We propose a planning method for offshore wind farm electrical collector system (OWF-ECS) with double-sided ring topology meeting the "N-1" criterion on cable faults, in which the submarine cables layout of OWF is optimized considering cable length a
Externí odkaz:
http://arxiv.org/abs/2301.12734