jingzhountu Goto Github PK

a-data-driven-framework-for-prediction-and-optimization-of-gas-turbine-blade-film-cooling

A data-driven framework was developed to predict and optimize the pressure-surface film cooling effectiveness of the GE-EEE first-stage turbine using deep learning.

a-labelled-dataset-of-heavy-duty-gas-turbine-gas-path-components

arteo

This repository hosts the source code of the paper: "Adaptive Real Time Optimization and Exploration for Safety-Critical Systems".

bear

bench_ev_agg_disagg

cfcg

cobs-joint-control

Code for ACM e-Energy 2021 paper: "On the Joint Control of Multiple Building Systems with Reinforcement Learning"

cobs-space-planning

drl-for-energy-systems-optimal-scheduling

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

energon

interpretable_ddts_aistats2020

Public code for implementation and experiments with differentiable decision trees.

physnet_thermal_models

Physics informed neural networks for control-oriented building thermal models

pinnstripes

Physics-Informed Neural Network SurrogaTe for Rapidly Identifying Parameters in Energy Systems

prof

real-time-turbine-angle-optimization-using-rl-based-algorithms

The objective of this project is to optimize the angle of a turbine in real-time to maximize energy production while minimizing rotation costs. This is achieved by employing reinforcement learning (RL) based algorithms.

rl-based-transferable-ems

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

rlforche

Code used for my thesis on the use of Reinforcement Learning, and Aspen+ ActiveX Automation, in reactor sequence optimization

s_cera

A ROS NODE Integration of the cera cranium cognitive framework using OPENAI retro Sonic Domain

safe-explorer

Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]

smartheat-controlrl

This repo features a deep reinforcement learning Home Energy Management System for cost-effective heating. It optimizes energy consumption using advanced algorithms, outperforming an optimal linear programming solution.

storage-flexrl

superdiff

Implementation of SuperDiff: Diffusion Models for Conditional Generation of Hypothetical New Families of Superconductors

thermal-p3

Collaborative Thermal Models (P3)