[HTML][HTML] Reviewing and integrating aec practices into industry 6.0: Strategies for smart and sustainable future-built environments

A Almusaed, I Yitmen, A Almssad - Sustainability, 2023 - mdpi.com
This article explores the possible ramifications of incorporating ideas from AEC Industry 6.0
into the design and construction of intelligent, environmentally friendly, and long-lasting …

A review on enhancing energy efficiency and adaptability through system integration for smart buildings

I Ahmed, M Asif, HH Alhelou, M Khalid - Journal of Building Engineering, 2024 - Elsevier
The increasing need for reducing carbon emissions and promoting smart, energy-saving
buildings is fueling the rising trend of sophisticated control systems. This study provides …

[HTML][HTML] Key factors affecting smart building integration into smart city: Technological aspects

R Apanavičienė, MMN Shahrabani - Smart Cities, 2023 - mdpi.com
This research presents key factors influencing smart building integration into smart cities
considering the city as a technological system. This paper begins with an overview of the …

Networking architectures and protocols for IoT applications in smart cities: Recent developments and perspectives

D Kanellopoulos, VK Sharma, T Panagiotakopoulos… - Electronics, 2023 - mdpi.com
Numerous municipalities employ the smart city model in large cities to improve the quality of
life of their residents, utilize local resources efficiently, and save operating expenses. This …

[HTML][HTML] Challenges and opportunities in European smart buildings energy management: A critical review

JL Hernández, I de Miguel, F Vélez… - … and Sustainable Energy …, 2024 - Elsevier
The substantial stock of European buildings, accounting for more than 40% of energy
consumption, has prompted member states to establish a renovation standard with stringent …

[HTML][HTML] Global models of smart cities and potential IoT applications: A review

A Hassebo, M Tealab - IoT, 2023 - mdpi.com
As the world becomes increasingly urbanized, the development of smart cities and the
deployment of IoT applications will play an essential role in addressing urban challenges …

[HTML][HTML] Energy modeling and model predictive control for HVAC in buildings: A review of current research trends

D Kim, J Lee, S Do, PJ Mago, KH Lee, H Cho - Energies, 2022 - mdpi.com
Buildings use up to 40% of the global primary energy and 30% of global greenhouse gas
emissions, which may significantly impact climate change. Heating, ventilation, and air …

Sasha: creative goal-oriented reasoning in smart homes with large language models

E King, H Yu, S Lee, C Julien - Proceedings of the ACM on Interactive …, 2024 - dl.acm.org
Smart home assistants function best when user commands are direct and well-specified---
eg," turn on the kitchen light"---or when a hard-coded routine specifies the response. In more …

Forecasting building energy demand and on-site power generation for residential buildings using long and short-term memory method with transfer learning

D Kim, G Seomun, Y Lee, H Cho, K Chin, MH Kim - Applied Energy, 2024 - Elsevier
This study evaluates the effectiveness of the long and short-term (LSTM) implementation
with a particular emphasis on assessing the impact of transfer learning techniques in …

Implementation of a long short-term memory transfer learning (LSTM-TL)-based data-driven model for building energy demand forecasting

D Kim, Y Lee, K Chin, PJ Mago, H Cho, J Zhang - Sustainability, 2023 - mdpi.com
Building energy consumption accounts for about 40% of global primary energy use and 30%
of worldwide greenhouse gas (GHG) emissions. Among the energy-related factors present …