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DarkGreyBox: An open-source data-driven python building thermal model inspired by Genetic Algorithms and Machine Learning

License: MIT License

Python 100.00%

darkgreybox's Introduction

Lichen Wu

I'm a 2022 OMSCS alum, and my favoriate courses are GIOS and Network Security. With my background in Computer Science and Civil Engineering, I have worked on several interesting building simulations:

  • 08/2024, I have submitted two abstracts for BuildingSimulation2025, one is about enhancing Urban Building Energy Modeling, another is about Model Predictive Control for Controlled Environment Agriculture (CEA).
  • 09/2023, integrating heterogeneous urban microclimate modeling into Urban Building Energy Modeling (still powered through EnergyPlus engine) through Message Passing Interface on NCAR supercomputer, presented via poster at conference.
  • 10/2022, integrating homogeneous urban microclimate modeling into EnergyPlus through semaphore, publised.
  • 7/2022, proposed one machine learning approach for predicting energy use of hydronic radiant slab system, presented at 7th International High Performance Buildings Conference at Purdue.
  • 11/2021, contributed the energy simulation for one research about reconfigurable building material that dynamically regulates radiative cooling and solar heat gain.

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