Forecast of air-conditioning duration in office buildings in summer using machine learning and Bayesian theories

YX Zhong, AD Knefaty, GX Chen, J Yao… - Journal of Building …, 2022 - Elsevier
Air-conditioning accounts for the bulk of a building's energy use. Researchers have focused
on various affecting parameters (eg, ventilation, thermostat setpoint) to understand …

Predicting the economic feasibility of solar-based net-zero emission buildings (NZEBs) in the United States non-residential sector

H Kim, JW Lim - Journal of Cleaner Production, 2024 - Elsevier
Buildings have significantly contributed to high energy demand (30.3%) and GHG emissions
(26.1%) worldwide. Consequently, many developed countries have set carbon-neutral …

End-to-End Decentralized Tracking of Carbon Footprint using Internet of Things and Distributed Databases

S Ali, C Gondro, Q Yan… - 2024 7th Conference on …, 2024 - ieeexplore.ieee.org
Environmental impact of food supply chains such as the meat chain, particularly in terms of
deforestation, water depletion, and greenhouse gas emissions, is significant. The modern …

[PDF][PDF] Predicting the Economic Feasibility of Solar-Based Net-Zero Emission Buildings (Nzebs) by Using a Fiveparameter Logistic Function: A Techno-Economic …

JW Lim, H Kim - United States - papers.ssrn.com
Buildings have significantly contributed to high energy demand and GHG emissions
worldwide. As a result, most developed countries have set up carbon neutral targets by …