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data analytics
Library
A second layer of analysis involved classifying AI tools used in the selected studies into four broad categories: general-purpose AI/ML platforms, data analytics platforms, building-specific AI tools, and applied or niche tools tailored to sustainability contexts. +2
technology
платформы аналитики данных
Программные платформы, используемые для анализа данных.
Building Digital Twins
These conference proceedings present research on building digital twins and the transition to sustainable, resilient built environments. Contributions address building information modelling, indoor environmental assessment, smart sensors, energy performance and related digital technologies.
By leveraging IoT networks and Big Data analytics, they allow city managers to test scenarios, predict urban behaviours, and optimize urban services [8].
technology
аналитика больших данных
Анализ больших и сложных массивов данных для выявления закономерностей и поддержки принятия решений.
Building Digital Twins
These conference proceedings present research on building digital twins and the transition to sustainable, resilient built environments. Contributions address building information modelling, indoor environmental assessment, smart sensors, energy performance and related digital technologies.
During the Operation and Monitoring phase, the role of AI shifts toward real-time data analytics and system control [5].
engineering
анализ данных в реальном времени
Анализ данных по мере их поступления, позволяющий системам оперативно реагировать.
Building Digital Twins
These conference proceedings present research on building digital twins and the transition to sustainable, resilient built environments. Contributions address building information modelling, indoor environmental assessment, smart sensors, energy performance and related digital technologies.
data analytics environments
technology
среды аналитики данных
Программные среды для анализа данных; здесь это одна из категорий инструментов ИИ.
Building Digital Twins
These conference proceedings present research on building digital twins and the transition to sustainable, resilient built environments. Contributions address building information modelling, indoor environmental assessment, smart sensors, energy performance and related digital technologies.