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 last year
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.☆33Aug 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
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 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
- 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
- Reinforcement Learning class☆12Jan 29, 2026Updated 2 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 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
- Solar Energy prediction is a challenging problem, as it depends on the weather parameters of that region. The daily prediction of the so…☆18Dec 3, 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
- Code and computational experiments of the paper "Benders Adaptive-Cuts Method for Two-Stage Stochastic Programs" by Cristian Ramírez-Pico…☆20Jun 1, 2023Updated 2 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
- RL for Energy Management of Microgrids☆11Mar 28, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆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 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
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Python实现的潮流计算，以ieee39为例☆22Sep 4, 2021Updated 4 years ago
- The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling☆169Mar 27, 2026Updated 3 weeks ago
- 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
- Equivalent Circuit Model for Lithium-Ion Batteries☆12Aug 15, 2023Updated 2 years ago
- ☆15Apr 21, 2024Updated last year
- Adaptive Large Neighborhood Search Algorithm for paper "Robust Dual Sourcing Inventory Routing Optimization for Disaster Relief"☆17Jan 25, 2023Updated 3 years ago
- Multi-Channel Deep Convolutional Networks With Shared Weight Layers for Power System Transient Stability Assessment☆21Dec 31, 2017Updated 8 years ago