pierlucaanania / REC-Energy-Management-MPC-RL
Explore efficient energy management in renewable communities through the implementation of Model Predictive Control (MPC) and Reinforcement Learning (RL). This GitHub repository houses the codebase for optimizing renewable energy systems, promoting sustainable practices and smart energy utilization. MSc Mechanical Eng Thesis // Pier Luca Anania
☆17Updated last year
Alternatives and similar repositories for REC-Energy-Management-MPC-RL:
Users that are interested in REC-Energy-Management-MPC-RL are comparing it to the libraries listed below
- Repository for Master's Thesis project consisting in a MPC algorithm for Solar-plus-Storage microgrid control, dealing with grid outage u…☆22Updated 4 years ago
- Online learning algorithm for microgrid energy management based on MPC☆31Updated last year
- ☆10Updated last year
- Deep reinforcement learning tool for demand response in smart grids with high penetration of renewable energy sources.☆25Updated 8 months ago
- code for paper "Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks"☆11Updated last year
- reinforcement learning for power grid optimal operations and maintenance☆31Updated 2 years ago
- Conformer-RLpatching achieves multi-objective dispatching for the hybrid power system under the long-term fluctuations of renewable energ…☆16Updated 2 years ago
- Deep reinforcement learning for autonomous energy management☆15Updated 6 years ago
- ☆34Updated 4 years ago
- This program solves the microgrid optimal energy scheduling problem considering of a usage-based battery degradation neural network model…☆22Updated 2 years ago
- Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks☆12Updated last year
- Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done wit…☆25Updated 2 years ago
- Microgrid/distribution network level energy market managed by an RL agent☆13Updated 4 years ago
- ☆11Updated 3 years ago
- This repository contains source code necessary to reproduce the results presented in the following paper: Stability Constrained Reinforce…☆32Updated 2 years ago
- Energy trading using DQN☆25Updated 5 years ago
- Reinforcement learning program for microgrid optimization☆22Updated 6 years ago
- This project utilizes convex optimization for optimal dispatch of power systems using convex DistFlow equations and cvxpy.☆28Updated 6 years ago
- RL for Energy Management of Microgrids☆10Updated 5 years ago
- Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.☆33Updated 2 years ago
- Deep Reinforcement Learning Techniques for Energy Management of Networked Microgrids☆25Updated 4 years ago
- ☆17Updated 2 years ago
- Grid-scale li-ion battery optimisation for wholesale market arbitrage, using pytorch implementation of dqn, double dueling dqn and a nois…☆19Updated 2 years ago
- Official implementation for the paper☆41Updated 8 months ago
- IntelliHealer: An imitation and reinforcement learning platform for self-healing distribution networks☆25Updated 2 years ago
- ☆13Updated 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
- This algorithm consists of a power simulator for photovoltaic panels and a wind turbine. This simulator was developed using mathematical…☆12Updated 3 years ago
- This set of codes implements our TSG paper "Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery …☆10Updated 2 months ago
- DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks☆8Updated 6 months ago