lz356

building_llm_agent_library

BEAL

An open-source repository designed for building energy analysis and modeling using LLM-based agents.

intelcamp_S2S

Probabilistic Sequential-to-Sequential Deep Learning for Campus Building Energy Prediction

Meta-Urban-US

Meta Data Schema and Available Processed Data

intelcamp_S2S_beta

FDD_RF_Repo

ComStock_Surrogate_hierarchical_journal_paper

SSSS

Paper Searching Tool termed as Sub-keyword Synonym Subtopics Searching described in the paper "A Review of Machine Learning in Building Energy System Modeling: Part I. Building Load Prediction"

sensor_impact_FDD

This is an NREL public repository used for sensor impact evaluation and verification project funded by DOE. Specifically, the function of repository can evaluate the sensor impact, including sensor accuracy and sensor selection, on fault detection and diagnostics (FDD) performance.

FeatureSelection_BuildingEnergy

Hybrid feature selection method for building energy forecasting described in https://www.sciencedirect.com/science/article/pii/S0378778818321625 Please cite the paper above if you use the code for publication.

S2S-with-attention-energy-forecasting

Thesis work regarding forecasting energy consumption using S2S, S2S with attention, Regular RNN, and DNN models