yuanyuan-shi Goto Github PK
Name: Yuanyuan Shi
Type: User
Company: UCSD
Bio: Assistant Professor, UCSD
Location: San Diego
Name: Yuanyuan Shi
Type: User
Company: UCSD
Bio: Assistant Professor, UCSD
Location: San Diego
We try to fit a Neural Network model based on simulation data of batteries, and use it for real-time battery degradation assessment and optimal control.
This folder contains the codes and data used for papers: Shi, Yuanyuan, Bolun Xu, Yushi Tan, Daniel Kirschen, and Baosen Zhang. "Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings." IEEE Transactions on Automatic Control.
This folder contains the codes and data used for papers: Shi, Yuanyuan, Bolun Xu, Di Wang, and Baosen Zhang. "Using battery storage for peak shaving and frequency regulation: Joint optimization for superlinear gains." IEEE Transactions on Power System.
This repository contains source code necessary to reproduce the results presented in the following paper: Multi-Agent Reinforcement Learning in Cournot Games Authors: Yuanyuan Shi and Baosen Zhang.
This repository contains source code necessary to reproduce the results in the following paper: Stable Online Control of Linear Time-Varying Systems
This is an implementation of machine learning methods for power outage prediction. I worked on this project with Ryan, Yanbo and Jerry.
Repository for the course 596B ECE: Practical Introduction to Neural Networks at University of Washington.
This repository contains source code necessary to reproduce the results presented in the following paper: Stability Constrained Reinforcement Learning for Real-Time Voltage Control (https://arxiv.org/pdf/2109.14854.pdf)
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