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.☆35Aug 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☆38Aug 14, 2025Updated 9 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.
- ☆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 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
- 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 4 months ago
- An Electric Vehicle Routing Problem with limited charging capacity at stations☆12Mar 10, 2019Updated 7 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.
- Implementation of bagging-based ensemble for solar irradiance prediction. Base learners used in ensemble learning is stacked-LSTM☆14Aug 28, 2020Updated 5 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
- 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
- ☆17Oct 28, 2021Updated 4 years ago
- RL for Energy Management of Microgrids☆11Mar 28, 2020Updated 6 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
- 基于人脸检测和头部姿态识别的疲劳驾驶低头检测，使用pyQT构建界面（摄像头检测、警报信息显示）☆16Apr 27, 2025Updated last year
- AI Agents on 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.
- This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".☆17Oct 12, 2022Updated 3 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☆17Jul 13, 2025Updated 10 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
- The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling☆170Mar 27, 2026Updated 2 months ago
- Real-time security-constrained economic dispatch (i.e. optimal power flow). This set of codes aims to provide a benchmark that mimics the…☆24Apr 3, 2023Updated 3 years ago
- Equivalent Circuit Model for Lithium-Ion Batteries☆12Aug 15, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Source code of the proposed method MulT-TTE in the paper "Multi-faceted Route Representation Learning for Travel Time Estimation"☆15Apr 7, 2025Updated last year
- ☆15Apr 21, 2024Updated 2 years ago
- ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.☆14Feb 8, 2022Updated 4 years ago
- Adaptive Large Neighborhood Search Algorithm for paper "Robust Dual Sourcing Inventory Routing Optimization for Disaster Relief"☆17Jan 25, 2023Updated 3 years ago
- Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.☆10Jul 7, 2022Updated 3 years ago
- inventory simulation modules for single-echelon supply chain☆13Dec 25, 2018Updated 7 years ago
- ☆14Jun 21, 2024Updated last year