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TopoBrick framework enables zero-shot forecasting for building IoT

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced TopoBrick, a novel framework designed for zero-shot forecasting in building Internet of Things (IoT) environments. This training-free system leverages building knowledge graphs to create a structural skeleton and an agentic topology sampler to identify relevant exogenous variables. TopoBrick organizes these variables based on their availability at deployment time, distinguishing between past sensor states and future-known data like weather and schedules. In tests across three real-world buildings, TopoBrick demonstrated superior performance compared to existing zero-shot foundation models and rivaled fully trained, building-specific models. AI

IMPACT This framework could improve the accuracy and efficiency of forecasting for smart buildings by better utilizing sensor data and external factors.

RANK_REASON The cluster contains a research paper detailing a new framework for IoT forecasting.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

TopoBrick framework enables zero-shot forecasting for building IoT

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The cluster contains a research paper detailing a new framework for IoT forecasting.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Xiachong Lin, Du Yin, Arian Prabowo, Hao Xue, Wen Hu, Imran Razzak, Matthew Amos, Sam Behrens, Flora D. Salim ·

    TopoBrick: Agentic Topology Sampling of Exogenous Variables for Zero-Shot Building IoT Forecasting

    arXiv:2607.06349v1 Announce Type: new Abstract: Building sensors are embedded in physical topology, spatial hierarchy, and operational context, yet existing forecasters often treat them as isolated time series or rely on fixed covariate sets. We present TopoBrick, a training-free…

  2. arXiv cs.AI TIER_1 English(EN) · Flora D. Salim ·

    TopoBrick: Agentic Topology Sampling of Exogenous Variables for Zero-Shot Building IoT Forecasting

    Building sensors are embedded in physical topology, spatial hierarchy, and operational context, yet existing forecasters often treat them as isolated time series or rely on fixed covariate sets. We present TopoBrick, a training-free framework for zero-shot building IoT (Internet-…

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