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 8 years ago
- UCLA, Smart charging, minimize load variance, Particle Swarm Optimization☆22Dec 7, 2019Updated 6 years ago
- Deep reinforcement learning tool for demand response in smart grids with high penetration of renewable energy sources.☆35Aug 1, 2024Updated 2 years ago
- ☆10Dec 10, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Scheduling Strategy of Electric Vehicle Charging Considering Different Requirements of Power Grid and Users☆10Apr 16, 2021Updated 5 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 4 years ago
- Project applying reinforcement learning to control an electric vehicle's energy storage system☆58Aug 5, 2020Updated 6 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
- An Electric Vehicle Routing Problem with limited charging capacity at stations☆12Mar 10, 2019Updated 7 years ago
- Residential Consumer energy bill reduction via PSO based EV charging☆15Mar 23, 2022Updated 4 years ago
- 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
- Implementation of bagging-based ensemble for solar irradiance prediction. Base learners used in ensemble learning is stacked-LSTM☆14Aug 28, 2020Updated 6 years ago
- Bender's decomposition for solving Mixed Integer Linear Programs (MILPs).☆14Nov 26, 2022Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Repository containing the code for safe reinforcement learning in two custom environments☆46Apr 9, 2025Updated last year
- Reinforcement Learning class☆12Jul 1, 2026Updated last month
- An LP problem with hiearchical objectives, modeled as a vehicle routing problem , implemented with gurobipy python API in a jupyter noteb…☆26Sep 6, 2021Updated 4 years ago
- Power Systems Optimization : Security Constrained Unit Commitment Economic Dispatch (SC-UCED) solved with Benders decomposition☆18Nov 29, 2023Updated 2 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 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
- ☆16Oct 28, 2021Updated 4 years ago
- ☆11Jun 21, 2021Updated 5 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 7 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
- a novel framework based on a physics-informed neural network dubbed as PhysCon that combines the interpretable ability of physical laws a…☆16Jan 4, 2023Updated 3 years ago
- Security Constrained Unit Commitment Using Line Outage Distribution Factors☆18Jan 7, 2018Updated 8 years ago
- Energy production of photovoltaic (PV) system is heavily influenced by solar irradiance. Accurate prediction of solar irradiance leads to…☆17Aug 30, 2020Updated 6 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 6 years ago
- The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling☆176Mar 27, 2026Updated 5 months ago
- Source code of the proposed method MulT-TTE in the paper "Multi-faceted Route Representation Learning for Travel Time Estimation"☆16Apr 7, 2025Updated last year
- Python实现的潮流计算，以ieee39为例☆23Sep 4, 2021Updated 4 years ago
- ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.☆14Feb 8, 2022Updated 4 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.
- Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.☆10Jul 7, 2022Updated 4 years ago
- ☆12Apr 12, 2023Updated 3 years ago
- inventory simulation modules for single-echelon supply chain☆13Dec 25, 2018Updated 7 years ago
- ☆15Apr 21, 2024Updated 2 years ago
- Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations☆161Jun 11, 2022Updated 4 years ago
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆58May 16, 2022Updated 4 years ago
- ☆14Jun 21, 2024Updated 2 years ago