Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Yang, Xinshuo"'
In many power grids, a large portion of the energy costs for commercial and industrial consumers are set with reference to the coincident peak load, the demand during the maximum system-wide peak, and their own maximum peak load, the non-coincident p
Externí odkaz:
http://arxiv.org/abs/2409.03942
This paper introduces a novel approach to addressing uncertainty and associated risks in power system management, focusing on the discrepancies between forecasted and actual values of load demand and renewable power generation. By employing Economic
Externí odkaz:
http://arxiv.org/abs/2408.04830
Meeting the ever-growing needs of the power grid requires constant infrastructure enhancement. There are two important aspects for a grid ability to ensure continuous and reliable electricity delivery to consumers: capacity, the maximum amount the sy
Externí odkaz:
http://arxiv.org/abs/2407.04081
Autor:
Carmona, Rene, Yang, Xinshuo
For the purpose of Monte Carlo scenario generation, we propose a graphical model for the joint distribution of wind power and electricity demand in a given region. To conform with the practice in the electric power industry, we assume that point fore
Externí odkaz:
http://arxiv.org/abs/2209.13497
Autor:
Carmona, René, Yang, Xinshuo
For the purpose of Monte Carlo scenario generation, we propose a graphical model for the joint distribution of wind power and electricity demand in a given region. To conform with the practice in the electric power industry, we assume that point fore
Externí odkaz:
http://arxiv.org/abs/2111.14628
We present a new adaptive method for electronic structure calculations based on novel fast algorithms for reduction of multivariate mixtures. In our calculations, spatial orbitals are maintained as Gaussian mixtures whose terms are selected in the pr
Externí odkaz:
http://arxiv.org/abs/1812.09284
We study the convergence of a variant of distributed gradient descent (DGD) on a distributed low-rank matrix approximation problem wherein some optimization variables are used for consensus (as in classical DGD) and some optimization variables appear
Externí odkaz:
http://arxiv.org/abs/1811.03129
We consider fast deterministic algorithms to identify the "best" linearly independent terms in multivariate mixtures and use them to compute, up to a user-selected accuracy, an equivalent representation with fewer terms. One algorithm employs a pivot
Externí odkaz:
http://arxiv.org/abs/1806.03226
Autor:
Zhang, Liang, Plathottam, Siby, Reyna, Janet, Merket, Noel, Sayers, Kevin, Yang, Xinshuo, Reynolds, Matthew, Parker, Andrew, Wilson, Eric, Fontanini, Anthony, Roberts, David, Muehleisen, Ralph
Publikováno v:
In Sustainable Cities and Society December 2021 75
Akademický článek
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