bmmddzgj
Follow
Lists (6)
Stars
中国科学信息科学latex模板。可以在texlive 2014 texstudio下使用
Using Alternating Direction Method of Multipliers to solve AC Optimal Power Flow Problem
Electronic companion for research paper "Energy and Reserves Dispatch with Distributionally Robust Joint Chance Constraints"
Experiments with distributionally robust optimization (DRO) for deep neural networks
The implementation of scenario generation for renewables production process
This repository is created for "Chance Constraints for Improving the Security of AC Optimal Power Flow"
My research work on robust extensions to convex clustering.
Solving Optimal Power Flow with Convex Restriction
Conic relaxations of the optimal power flow problem
About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq
Code of the paper: Stochastic AC Optimal Power Flow: A Data-Driven Approach
Solve the stochastic version of the Unit Commitment, a typical optimisation problem in power systems
An optimization project on the unit commitment problem and its MILP solution implemented
Secured Constraints Unit Commitment model of Power system, including the model based on AC flow equation and DC flow equation. Only the constraints in pre-contingency state are considered. There is…
Zhejiang University Graduation Thesis LaTeX Template
MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave
Julia codes for the paper "A stochastic approximation method for approximating the efficient frontier of chance-constrained nonlinear programs"
ConvertChanceConstraint (ccc): a Matlab toolbox for Chance-constrained Optimization
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Home work in python using cvxpy to Stephen Boyd's Convex Optimization class (CVX101 Stanford)
Homework to Stephen Boyd's Convex Optimization class (CVX101 Stanford) with python and cvxpy