BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics

TL;DR

This paper introduces BiTSA, an interactive visualization tool that combines advanced forecasting models with an intuitive interface to help building managers interpret energy data and make real-time, data-driven decisions for sustainable energy management.

Contribution

The paper presents a novel visualization tool, BiTSA, that integrates forecasting models with an interactive interface to improve building energy analytics and decision-making.

Findings

Enables quick interpretation of complex energy data.

Supports real-time, data-driven decision-making.

Aids in optimizing energy consumption and sustainability.

Abstract

Incorporating AI technologies into digital infrastructure offers transformative potential for energy management, particularly in enhancing energy efficiency and supporting net-zero objectives. However, the complexity of IoT-generated datasets often poses a significant challenge, hindering the translation of research insights into practical, real-world applications. This paper presents the design of an interactive visualization tool, BiTSA. The tool enables building managers to interpret complex energy data quickly and take immediate, data-driven actions based on real-time insights. By integrating advanced forecasting models with an intuitive visual interface, our solution facilitates proactive decision-making, optimizes energy consumption, and promotes sustainable building management practices. BiTSA will empower building managers to optimize energy consumption, control demand-side energy usage, and achieve sustainability goals.