Physics-Informed Modularized Neural Network for Building Energy Modeling
Project description
ModNN
ModNN is a Modularized Physics-Informed Neural Network for building energy modeling.
It incorporates with physics-informed model structure, loss function, and model constraints.
🚀 Installation
You can install the package using pip:
pip install modnn
🧠 Example
Please find the online Jupyter notebook for a step-by-step instruction: https://colab.research.google.com/drive/1A2jt1q53RtxGuaoym6N1PmlKELDPpYFX?usp=sharing
🧠 Update log
To further improve physics consistency, I replaced heattransfer module by energy balance equations, start from version 2.0.0
🧪 Requirements
Python 3.7+
PyTorch
NumPy
Pandas
Matplotlib
Seaborn
scikit-learn
tqdm
📬 License
MIT License
🙋♂️ Author
Zixin Jiang: zjiang19@syr.edu
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