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
- 面向低碳智能电网,基于LSTM-Transformer混合模型和动态反馈-滚动优化机制,提出了一种协同建模框架,该框架提高了电力负荷预测的准确性,同时将负荷预测与最优调度有机结合,优化了电网调度策略,从而降低了运营成本和碳排放☆31Aug 14, 2025Updated 7 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- ☆10Dec 10, 2021Updated 4 years ago
- 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 4 years ago
- Project applying reinforcement learning to control an electric vehicle's energy storage system☆58Aug 5, 2020Updated 5 years ago
- 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
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Reinforcement Learning class☆12Jan 29, 2026Updated 2 months ago
- An Electric Vehicle Routing Problem with limited charging capacity at stations☆12Mar 10, 2019Updated 7 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
- Code and computational experiments of the paper "Benders Adaptive-Cuts Method for Two-Stage Stochastic Programs" by Cristian Ramírez-Pico…☆18Jun 1, 2023Updated 2 years ago
- Power Systems Optimization : Security Constrained Unit Commitment Economic Dispatch (SC-UCED) solved with Benders decomposition☆15Nov 29, 2023Updated 2 years ago
- Implementation of bagging-based ensemble for solar irradiance prediction. Base learners used in ensemble learning is stacked-LSTM☆13Aug 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
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 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
- RL for Energy Management of Microgrids☆10Mar 28, 2020Updated 6 years ago
- ☆17Oct 28, 2021Updated 4 years ago
- ☆11Jun 21, 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…☆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 4 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
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Deep Reinforcement Learning based Real-time Renewable Energy Bidding with Battery Control☆16Jul 13, 2025Updated 8 months ago
- Python实现的潮流计算,以ieee39为例☆22Sep 4, 2021Updated 4 years ago
- Model of virtual power plant as a part of Msc thesis☆14Mar 6, 2022Updated 4 years ago
- Physically Consistent Neural Networks☆22Mar 21, 2025Updated last year
- The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling☆167Jun 8, 2023Updated 2 years ago
- Equivalent Circuit Model for Lithium-Ion Batteries☆12Aug 15, 2023Updated 2 years 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 2 years ago