Results 191 to 200 of about 10,171,198 (336)

Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models

open access: yesEnergy Science &Engineering, EarlyView.
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem   +3 more
wiley   +1 more source

Occupational health survey of the Chicago Metropolitan Area (revised). [PDF]

open access: gold, 1970
Marcus Key   +11 more
openalex   +1 more source

Integrating Remote Sensing and Machine Learning for Enhanced Surface Urban Heat Island Analysis and Its Impact on Building Energy Demand

open access: yesEnergy Science &Engineering, EarlyView.
Satellite (MODIS) mapping links Urban Heat Island (UHI) intensity to city‐scale energy demand—higher daytime cooling demand and altered nighttime heating demand—supporting targeted mitigation and planning. ABSTRACT This study examines the surface urban heat island (SUHI) effect on building energy consumption in Tehran from 1998 to 2024, utilizing MODIS
Rasool Maroofiazar, Ali Maboudi Reveshti
wiley   +1 more source

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