Geraldine-Winston / Energy-Efficient-Building-Design-Recommendations-using-deep-reinforcement-learning.Links
This project develops a deep reinforcement learning agent to recommend energy-efficient building designs by optimizing parameters like window size, insulation thickness, and HVAC setpoints, aiming to minimize energy consumption and enhance sustainability.
☆25Updated 6 months ago
Alternatives and similar repositories for Energy-Efficient-Building-Design-Recommendations-using-deep-reinforcement-learning.
Users that are interested in Energy-Efficient-Building-Design-Recommendations-using-deep-reinforcement-learning. are comparing it to the libraries listed below
Sorting:
- ediPredict Nigeria is an innovative healthcare solution that uses advanced machine learning algorithms to identify possible diseases base…☆22Updated 6 months ago
- ☆16Updated 6 months ago
- ☆19Updated 6 months ago
- Geraldine-Winston / Biodiversity-Loss-Prediction-under-Climate-Change-using-ensemble-deep-learning-models.This project leverages an ensemble of deep learning models, including MLP, CNN, and LSTM, to predict biodiversity loss under various clim…☆24Updated 6 months ago
- ☆17Updated 6 months ago
- ☆19Updated 6 months ago
- A WhatsApp bot designed to provide Nigerian farmers with real-time agricultural information including weather forecasts, crop prices, pe…☆34Updated 6 months ago
- ☆23Updated 6 months ago
- This project uses machine learning regression techniques to reconstruct paleoclimate conditions from proxy data such as isotope ratios, p…☆27Updated 6 months ago
- ☆19Updated 6 months ago
- ☆23Updated 8 months ago
- ☆19Updated 6 months ago
- ☆21Updated 7 months ago
- ☆19Updated 6 months ago
- ☆23Updated 6 months ago
- Geraldine-Winston / Groundwater-Potential-Zonation-via-Convolutional-Neural-Networks-CNN-on-remote-sensing-data☆19Updated 6 months ago
- ☆19Updated 6 months ago
- ☆23Updated 8 months ago
- ☆23Updated 6 months ago
- Beckybams / Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-ChangeThe dynamic nature of forecasting shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and mac…☆21Updated 9 months ago
- ☆24Updated 6 months ago
- ☆18Updated 6 months ago
- This project aims to build accurate and scalable demand forecasting models for e-commerce and retail businesses☆32Updated 7 months ago
- ☆25Updated 6 months ago
- A Chart for Water Parameters is a visual representation of key water quality indicators, such as pH, turbidity, dissolved oxygen, conduct…☆22Updated 10 months ago
- A WhatsApp bot designed to provide Nigerian farmers with real-time agricultural information including weather forecasts, crop prices, pe…☆23Updated 6 months ago
- uild a purposely vulnerable web app that teaches SQL injection, then show how to patch vulnerabilities using ORM and prepared statements.☆40Updated 6 months ago
- Track prices of BTC, ETH, etc., and send alerts when price thresholds are crossed. Implement using CoinGecko API and Python-Telegram-Bot.☆46Updated 6 months ago
- ☆23Updated 6 months ago
- ☆24Updated 6 months ago