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-physo-

这是物理学公式拟合工具PhySo（Φ-SO）的demo的中文注释项目，帮助需要快速入门此工具的**科研人员初步熟悉该工具的使用

acn-data-analysis

California Institute of Technology provides ACN-DATA to help researchers access real data around electric vehicle charging. Here I have analysed the data and verified some of the user behaviour mentioned in "ACN-Data : Analysis and Applications of an Open EV Charging Dataset" paper. The link of the paper is : https://ev.caltech.edu/assets/pub/ACN_Data_Analysis_and_Applications.pdf

acnportal

Research tools for the Adaptive Charging Network

arima

Simple python example on how to use ARIMA models to analyze and predict time series.

arima-and-seasonal-arima

best-of-ps

🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.

bpa_emtp

Electromagnetic Transients Program (EMTP) of Bonneville Power Administration (BPA)

btg

Buildings-to-Grid Integration Framework: Codes and Data

data-analysis-ev-charging-dataset

Data Analysis of EV charging Dataset by Elaad NL

distributionally-robust-stochastic-opf

ebook-an_introduction_to_robust_optimization

elvis

Electric Vehicle Charging Infrastructure Simulator (ELVIS)

emtp-bpa-cpp

C++ translation from EMTA-BPA Fortran using fable

energydemand

GNNs and Benchmarks for Node-level Load Forecasting

fb-interpreter

FB-interpreter is logic-arithmetic interpreter with variable and string support, build with Flex and Bison.

fmpy

Simulate Functional Mockup Units (FMUs) in Python

forecasting_principle_and_practices

Forecasting: Principles and Practice (2nd ed)

gaussian-processes-regression-tutorial

An Intuitive Tutorial to Gaussian Processes Regression

gemtp

BPA ATP-EMTP translated into fortran 90.

generative-models

Implementation of generative models to compute scenario of renewable generation and consumption.

gmm

Gaussian Mixture Models in Python

gmm-for-acn-data

Code for predicting user behavior in this paper: https://ev.caltech.edu/assets/pub/ACN_Data_Analysis_and_Applications.pdf

gpy

Gaussian processes framework in python

gridlab-d

Source Code for GridLAB-D

gui

Source Code to go along with my video on how to program a gui in python using Tkinter

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

introduction-to-time-series-forecasting-python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

load_forecasting

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machinelearningwithpython

Get started with Machine Learning with Python - An introduction with Python programming examples