building-energy

#building-energy

Machine Learning and Time-Series Foundation Models for Day-Ahead Electricity Forecasting in a University Building

arXiv cs.LG ↗ · 2026-10-12 Cached

该论文在一所大学建筑上对比了统计模型、XGBoost、LSTM与预训练时间序列基础模型TimesFM用于日前电力预测的效果，发现TimesFM 3.0配合协变量将平均绝对误差相对季节性朴素基线降低约43%，而XGBoost仍具竞争力。

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#building-energy

A Unified Python Framework for Direct PPO-based Control of AHUs with Economizer Logic and CO2-Constrained Ventilation

arXiv cs.LG ↗ · 2026-05-26 Cached

A unified Python framework using PPO-based deep reinforcement learning for optimizing HVAC control with economizer logic and CO2-constrained ventilation is presented, showing improved energy efficiency and temperature stability over traditional PID controllers.

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building-energy

Machine Learning and Time-Series Foundation Models for Day-Ahead Electricity Forecasting in a University Building

A Unified Python Framework for Direct PPO-based Control of AHUs with Economizer Logic and CO2-Constrained Ventilation

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