wouterbles / pyaugmecon

This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo packag...

Variational Inequality Solvers in Python

Multi-objective dynamic traffic assignment for social optimal shared autonomous vehicles

Reinforcement Learning with Model Predictive Control

Implementation of the FlexPower Three Market BESS Optimization Model in Python using pyomo

A python implementation of the cell transmission model (CTM) for macroscopic traffic flow simulation.

Traffic simulation with the Cell Transmission Model (CTM)

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

MIP model for optimizing charging and platooning schedule of electric freight vehicles.

[IV 2022] A Comparative Study of Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles.

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and ...

#计算机科学#With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment...

A collection of tools (classes, functions, etc.) for developing MINLP algorithms

An extensible MINLP solver