This project is about exploring the use of model-based reinforcement learning with Bayesian neural networks to minimize the electricity cost for electricity consumers who have their own photovoltaic system and a battery. The method used here is designed for environments with dynamic electricity prices.
☆18Apr 27, 2024Updated 2 years ago
Alternatives and similar repositories for minimizing-electricity-cost-with-model-based-deep-RL
Users that are interested in minimizing-electricity-cost-with-model-based-deep-RL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reinforcement learning project using deep Q-learning to control the operations of an electrical microgrid☆11Jan 3, 2023Updated 3 years ago
- The python code generated random demands of random EV vehicles and household electricity demands. It then plots the graphs between earlie…☆25Jul 26, 2018Updated 7 years ago
- Deep reinforcement learning tool for demand response in smart grids with high penetration of renewable energy sources.☆34Aug 1, 2024Updated last year
- UCLA, Smart charging, minimize load variance, Particle Swarm Optimization☆22Dec 7, 2019Updated 6 years ago
- ☆10Dec 10, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code repository for the paper "Data-driven modelling of energy demand response behaviour based on a large-scale residential trial".☆14Jun 6, 2021Updated 4 years ago
- Scheduling Strategy of Electric Vehicle Charging Considering Different Requirements of Power Grid and Users☆10Apr 16, 2021Updated 5 years ago
- Project applying reinforcement learning to control an electric vehicle's energy storage system☆58Aug 5, 2020Updated 5 years ago
- This set of codes implements our TSG paper "Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery …☆11Feb 24, 2025Updated last year
- This repository contains the raw data used in "A Multi-Agent Reinforcement Learning Approach to Price and Comfort Optimization in HVAC-Sy…☆11Jan 14, 2022Updated 4 years ago
- Residential Consumer energy bill reduction via PSO based EV charging☆15Mar 23, 2022Updated 4 years ago
- A chance constraint planning framework using gaussian processes☆13May 14, 2021Updated 4 years ago
- Python Source code and datasets used in my doctoral dissertation - Detection of faults in HVAC systems using tree-based ensemble models a…☆13Oct 6, 2018Updated 7 years ago
- This repository contains the code to train the baseline agent provided in the 2022 edition of Learning to Run a Power Network and to recr…☆15Aug 2, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Reinforcement Learning class☆12Jan 29, 2026Updated 3 months ago
- An Electric Vehicle Routing Problem with limited charging capacity at stations☆12Mar 10, 2019Updated 7 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆46Apr 9, 2025Updated last year
- Implementation of bagging-based ensemble for solar irradiance prediction. Base learners used in ensemble learning is stacked-LSTM☆14Aug 28, 2020Updated 5 years ago
- An LP problem with hiearchical objectives, modeled as a vehicle routing problem , implemented with gurobipy python API in a jupyter noteb…☆25Sep 6, 2021Updated 4 years ago
- Bender's decomposition for solving Mixed Integer Linear Programs (MILPs).☆13Nov 26, 2022Updated 3 years ago
- An accurate and reliable wind power forecasting model that can handle the variability and uncertainty of the wind resource. An ensemble …☆13Jul 6, 2023Updated 2 years ago
- Power Systems Optimization : Security Constrained Unit Commitment Economic Dispatch (SC-UCED) solved with Benders decomposition☆17Nov 29, 2023Updated 2 years ago
- We implemented a general, extensible Environment of a Smart Grid with the ability to simulate interactions between multiple Sources and L…☆26Aug 17, 2019Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆17Oct 28, 2021Updated 4 years ago
- RL for Energy Management of Microgrids☆11Mar 28, 2020Updated 6 years ago
- ☆11Jun 21, 2021Updated 4 years ago
- Repository containing supplementary data and code for "Unit Commitment with N-1 Security and Wind Uncertainty"☆13Oct 2, 2018Updated 7 years ago
- a novel framework based on a physics-informed neural network dubbed as PhysCon that combines the interpretable ability of physical laws a…☆15Jan 4, 2023Updated 3 years ago
- The goal of this project is to build a simulation model to determine the largest expected revenue from an electric vehicle charging stati…☆20Oct 4, 2021Updated 4 years ago
- this project is to implement different deep learning architectures and evaluate them based on their performance on the hour-ahead electri…☆28Apr 3, 2021Updated 5 years ago
- Energy production of photovoltaic (PV) system is heavily influenced by solar irradiance. Accurate prediction of solar irradiance leads to…☆18Aug 30, 2020Updated 5 years ago
- This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".☆17Oct 12, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This is the official repository of AlphaBuilding ResCommunity: a realistic OpenAI Gym environment that can be used to train, test and ben…☆15Dec 25, 2021Updated 4 years ago
- This study is using alternating direction method of multipliers (ADMM) approach for solving the direct current dynamic optimal power flow…☆46Jul 23, 2020Updated 5 years ago
- Deep Reinforcement Learning based Real-time Renewable Energy Bidding with Battery Control☆16Jul 13, 2025Updated 9 months ago
- Model of virtual power plant as a part of Msc thesis☆14Mar 6, 2022Updated 4 years ago
- Physically Consistent Neural Networks☆21Mar 21, 2025Updated last year
- Real-time security-constrained economic dispatch (i.e. optimal power flow). This set of codes aims to provide a benchmark that mimics the…☆23Apr 3, 2023Updated 3 years ago
- The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling☆169Mar 27, 2026Updated last month