3 citations · 6 across the 7 of their papers we have counts for
7 papers
Maximizing On-Bill Savings through Battery Management Optimization
Rene Carmona, Xinshuo Yang, Siddharth Bhela +1
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 s…
Cost Attribution And Risk-Averse Unit Commitment In Power Grids Using Integrated Gradient
Rene Carmona, Ronnie Sircar, Xinshuo Yang
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…
Coincident Peak Prediction for Capacity and Transmission Charge Reduction
Rene Carmona, Xinshuo Yang, Claire Zeng
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…
Joint Stochastic Model for Electric Load, Solar and Wind Power at Asset Level and Monte Carlo Scenario GenerationRené Carmona \& Xinshuo Yang
Rene Carmona, Xinshuo Yang
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…
GLASSO Model for Electric Load and Wind Power and Monte Carlo Scenario Generation
René Carmona, Xinshuo Yang
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…
Adaptive algorithm for electronic structure calculations using reduction of Gaussian mixtures
Gregory Beylkin, Lucas Monzon, Xinshuo Yang
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…
Reduction of multivariate mixtures and its applications
Gregory Beylkin, Lucas Monzon, Xinshuo Yang
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 equ…