LaurentVeyssier / Minimize-Energy-consumption-with-Deep-Learning-model
Use Deep Q-Learning model to optimize energy consumption of a data center
☆35Updated 4 years ago
Alternatives and similar repositories for Minimize-Energy-consumption-with-Deep-Learning-model:
Users that are interested in Minimize-Energy-consumption-with-Deep-Learning-model are comparing it to the libraries listed below
- SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. …☆46Updated 3 months ago
- Development of a machine learning application for IoT platform to predict electric energy consumption in smart building environment in re…☆48Updated 4 years ago
- Supplementary material to the paper "An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control".☆14Updated 5 months ago
- DRL based Building Energy Management System for universal deploying in any buildings with Multi-VAV system☆19Updated last month
- Prediction of Energy Consumption using Machine Learning for Energy Sustainability☆18Updated 5 years ago
- Reinfocement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems☆11Updated 3 years ago
- ☆9Updated last year
- ☆26Updated 11 months ago
- Deep Reinforcement Learning AI Approach to Control HVAC Systems☆49Updated 6 years ago
- Home energy multi-agent recommender framework with demand response and power limit consideration.☆19Updated 2 years ago
- Energy consumption prediction using LSTM/GRU networks in PyTorch☆49Updated last year
- This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and…☆25Updated 2 years ago
- Markov Decision Process and Model Predictive control for EV charging station☆26Updated 6 years ago
- Smart City project - Forecasting and optimizing HVAC system parameters in a large public building.☆12Updated 2 years ago
- Model-based Reinforcement Learning for Building HVAC Control☆32Updated last year
- Optimising electricity expenditure in an HVAC system under dynamic electricity pricing scheme and weather conditions using a DDPG model.☆27Updated 3 years ago
- Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement L…☆22Updated last year
- Deep reinforcement learning-based control of room temperature and bidirectional EV charging☆12Updated 3 years ago
- Harness the power of deep reinforcement learning to optimize your Home Energy Management System (HEMS). Our tailored agent, trained on th…☆20Updated 11 months ago
- Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done wit…☆25Updated 2 years ago
- ShengrenHou / Optimal-Energy-System-Scheduling-Combining-Mixed-Integer-Programming-and-Deep-Reinforcement-LearningThe Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe …☆112Updated last year
- ⚡ Power forecasting of 💚 renewable energy power plants is a very active research field, as reliable information about the 🔮 future power…☆23Updated 4 years ago
- ☆12Updated 3 years ago
- ☆11Updated 4 years ago
- Minimizing Costs in Energy Consumption of a Data Center using Deep Q Learning☆17Updated 5 years ago
- Simplified electric vehicle charge optimization based on Hoke (2011).☆14Updated 4 years ago
- A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.☆75Updated 2 years ago
- This repository contains the raw data used in "A Multi-Agent Reinforcement Learning Approach to Price and Comfort Optimization in HVAC-Sy…☆11Updated 3 years ago
- Data Center Environment and Reinforcement Learning (RL) Control☆15Updated last year