Starred repositories
Real-time models of the MMC-based multi-terminal HVDC electrical grids with North Sea ratings.
A HEMS(Home Energy Management System) algorithm using MATLAB yalmip+cplex to help residential users to better participant in power grid peak shaving
复现论文《电力系统碳排放流的计算方法初探》。周天睿,康重庆,徐乾耀,等.电力系统碳排放流的计算方法初探[J].电力系统自动化,2012,36(11):44-49.
AC Optimal Power Flow (OPF), yalmip modeling, ipopt solving 交流最优潮流, yalmip 建模, ipopt 求解
A Simple Case of Unit Commitment (UC) 机组组合的一种简单案例
Solving the Optimal Power Flow by Second-Order Cone Programming (The Second-Order Cone Relaxation of Optimal Power Flow) 二阶锥规划求解最优潮流（最优潮流的二阶锥松弛）
Python复现论文《电力系统碳排放流的计算方法初探》[1]。 [1] 周天睿,康重庆,徐乾耀,等.电力系统碳排放流的计算方法初探[J].电力系统自动化,2012,36(11):44-49.
DC Optimal Power Flow (OPF) via gurobi and yalmip, respectively. An example for learning gurobi and yalmip. 分别通过gurobi和yalmip实现直流最优潮流。学习gurobi和yalmip的小例子
Algorithms in power system optimizaion for beginners. Code in MATLAB with yalmip
This repository provides the codes used to obtain the expressions in the paper: V. A. Lacerda, R. M. Monaro, D. Campos-Gaona, R. Pena-Alzola, D. V. Coury "An Approximated Analytical Model of Pole-t…
Small Signal Model modelling of a modular multilevel converter (MMC) for high voltage DC (HVDC) transmissions, based on the Quebec New England HVDC technology
OpenModelica models for components in an MMC based HVDC grid
2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍
This is the second group work for the course Advanced Data Analysis and Machine Learning. The aim of the project was to predict daily power consumption of house with previous power consumption and …
Prediction of specific stock or cryptocurrency price using deep learning LSTM network
LSTM Model to Predict the Scheduled Power Generation by taking Frequncy, Scheduled Generation, and Actual Generation saved in Historical Data
Research data Of A Novel Approach for Subsurface Defect Depth Prediction based on Detection Time in Pulsed Infrared Thermography with LSTM Network
An adaptive step size self-organizing migration algorithm for short-term load forecasting with LSTM structure optimization
price prediction of gold using lstm neural network
This work implements RNN and LSTM models using Python and MATLAB for temperature forecasting, covering setup, data preprocessing, model training, and evaluation with metrics like MAE and RMSE. It e…
2023年第四届MathorCup大数据竞赛A题（MATLAB）
基于BO-LSTM的黄金股价预测分析
Prediction of Hospital's electricity consumption for budget allocation using LSTM neural network.