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[HTML][HTML] Advanced digital tools for data-informed and performance-driven design: a review of building energy consumption forecasting models based on machine …
Cities and buildings represent the core of human life, the nexus of economic activity, culture,
and growth. Although cities cover less than 10% of the global land area, they are notorious …
and growth. Although cities cover less than 10% of the global land area, they are notorious …
[HTML][HTML] Analyzing Long-Term and High Instantaneous Power Consumption of Buildings from Smart Meter Big Data with Deep Learning and Knowledge Graph …
RG Wang, WJ Ho, KC Chiang, YC Hung, JK Tai… - Energies, 2023 - mdpi.com
In the context of the growing emphasis on energy conservation and carbon reduction, the
widespread deployment of smart meters in residential and commercial buildings is …
widespread deployment of smart meters in residential and commercial buildings is …
Integrated Workflow Development for Data-Driven Neighborhood-Scale Building Performance Simulation
As urbanization intensifies, cities are key contributors to energy consumption and carbon
emissions, accounting for a significant portion of global energy use and CO 2 emissions …
emissions, accounting for a significant portion of global energy use and CO 2 emissions …
Leveraging Machine Learning to Forecast Neighborhood Energy Use in Early Design Stages: A Preliminary Application
The need for energy efficiency in neighborhood-scale architectural design is driven by
environmental imperatives and escalating energy costs. This study identifies three key …
environmental imperatives and escalating energy costs. This study identifies three key …
[CITATION][C] Integrated Workflow Development for Data-Driven Neighborhood-Scale Building Performance Simulation
G Masera, S Hoque - 2024