udac documentation

The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the plant was set to work with full load.

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

A pipeflow calculation tool that complements pandapower in the simulation of multi energy grids

The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management

The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling

Learning how to use gurobi with python (in chinese)

Solve optimization problems containing piecewise linear functions

GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management

Big Data and Machine Intelligence Course in Spring 2020.

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

Realistic renewable energy scenarios for stochastic grid optimization problems

With the help of the code of the paper "An Alternating Direction Method of Multiplier Based Problem Decomposition Scheme for Iteratively Improving Primal and Dual Solution Quality in Vehicle Routin…

A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse

Listing of datasets and code samples related to Smart Meter

A machine learning compiler for GPUs, CPUs, and ML accelerators

This a beta-version code for reinforcement learning based microgrid reconfiguration algorithm

My solutions to programming exercises from Stanford online Machine Learning class.

Repository for the course "Advanced Power Network Analysis". Codes for homework are included here.

The implementation of scenario generation for renewables production process

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

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 s…

This is the dataset for the paper entitled "Feature-Driven Economic Improvement for Network-Constrained Unit Commitment: A Closed-Loop Predict-and-Optimize Framework"

This repository contains code related to Game Theory. All the code has been entirely developed in Matlab.

This repository contains supplementary data and MATLAB code for "Mechanism Design for Decentralized Peer-to-Peer Energy Trading Considering Heterogeneous Preferences" by Saber Talari, Mohsen Khoras…

Fast model predicitive control with matlab interface

Benchmarks for the Optimal Power Flow Problem