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a-novel-dro-model-for-self-scheduling-problem

This study is using distributionally robust optimization (DRO) algorithm with conditional value-at-risk (CVaR) to solve self-scheduling problem to obtain a suitable and adjustable self-scheduling strategy

anatomyofmatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

asymm

Asynchronous Method of Multipliers for Constrained Nonconvex Distributed Optimization

break-the-ice-with-python

The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

cond_rnn

Conditional RNNs made easy with Tensorflow and Keras.

convex_optimization

This is a homework of convex_optimization which implements almost all solutions of LASSO and some solutions of LP, such as cvxpy, gurobi, mosek, gradient descent, proximal primal problem, smoothed primal problem, FISTA, Nesterov second, ADMM and so on. Currently I completed the Chinese 'README', but in the near future, I will try to write an English version.

dataset-of-hrp-38-test-system

This repository includes the dataset of HRP-38 system in both .xlsx and .mat file. The index of the selected typical day used in Case Study is also included.

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

disropt

DISROPT: A Python framework for distributed optimization

dp_cc_opf

dual-consensus-admm-for-dc-opf-cet

This study is using alternating direction method of multipliers (ADMM) approach for solving the direct current dynamic optimal power flow with carbon emission trading (DC-DOPF-CET) problem.

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

gnnpapers

Must-read papers on graph neural networks (GNN)

gridcal

GridCal, a cross-platform power systems solver written in Python with user interface and embedded python console

gurobi-python

Learning how to use gurobi with python (in chinese)

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

lshort-zh-cn

A Chi­nese edi­tion of the Not So Short Introduction to LaTeX2ε

lstnet_pytorch_pollution

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

multivariate-lstm

multivariate-prediction

time-series-predictoin(LSTNet,SAB,Transformer...)

nbeatsx

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:.

numpy-100

100 numpy exercises (with solutions)

opendssdirect.py

OpenDSSDirect.py is a cross-platform Python package implements a "direct" library interface to OpenDSS.

opf-admm

Using Alternating Direction Method of Multipliers to solve AC Optimal Power Flow Problem

pandas_advanced_exercise

Pandas进阶修炼300题

pcdgmodel-localcommunities

polyhedra

Blender addon to generate mesh for any Archimedean polyhedra and any of regular star polyhedra of Kepler–Poinsot.

polyhedral_set

This is a program for searching extreme points of polyhedral set (polyhedron) with n-dimensions. // Это программа для поиска крайних точек канонического многогранника с n неизвестными.