Machine learning for performance prediction in smart buildings: Photovoltaic self-consumption and life cycle cost optimization DOI
Hashem Amini Toosi, Claudio Del Pero, Fabrizio Leonforte

et al.

Applied Energy, Journal Year: 2023, Volume and Issue: 334, P. 120648 - 120648

Published: Jan. 20, 2023

Language: Английский

A Review of Using IoT for Energy Efficient Buildings and Cities: A Built Environment Perspective DOI Creative Commons
Karam M. Al-Obaidi, Mohataz Hossain, Nayef Abdulwahab Mohammed Alduais

et al.

Energies, Journal Year: 2022, Volume and Issue: 15(16), P. 5991 - 5991

Published: Aug. 18, 2022

Applications of the Internet Things (IoT) are rapidly utilized in smart buildings and cities to reduce energy consumption. This advancement has caused a knowledge gap applying IoT effectively by experts built environment achieve efficiency. The study aims provide an extensive review applications for savings cities. contributes field guiding supporting utilize technologies. paper performed thorough using systematic that covered overview concepts, models, applications, trends challenges can be encountered environment. findings indicated limitations developing strategies professionals this due insufficient comprehension technologies their applied methods. Additionally, found indefinite implementation constraints on when integrated into Finally, provides critical arguments next steps terms

Language: Английский

Citations

60

Edge AI and Blockchain for Smart Sustainable Cities: Promise and Potential DOI Open Access
Elarbi Badidi

Sustainability, Journal Year: 2022, Volume and Issue: 14(13), P. 7609 - 7609

Published: June 22, 2022

Modern cities worldwide are undergoing radical changes to foster a clean, sustainable and secure environment, install smart infrastructures, deliver intelligent services residents, facilitate access for vulnerable groups. The adoption of new technologies is at the heart implementing many initiatives address critical concerns in urban mobility, healthcare, water management, clean energy production consumption, saving, housing, safety, accessibility. Given advancements sensing communication over past few decades, exploring recent innovative addressing these making more innovative, sustainable, safer. This article provides broad understanding current challenges faced by cities. It highlights two technological advances, edge artificial intelligence (edge AI) Blockchain, analyzes their transformative potential make our smarter. In addition, it explores multiple uses AI Blockchain fields mobility reviews relevant research efforts areas modern various algorithms handle vehicle detection, counting, speed identification problem traffic congestion different use-cases terms trustworthy communications trading between vehicles trading. review paper expected serve as guideline future on adopting other city domains.

Language: Английский

Citations

48

Smart readiness indicator evaluation and cost estimation of smart retrofitting scenarios - A comparative case-study in European residential buildings DOI Creative Commons
Vasilis Apostolopoulos, Paraskevi Giourka, Georgios Martinopoulos

et al.

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 82, P. 103921 - 103921

Published: May 1, 2022

The current research applies the SRI methodology in two typologies of typical residential buildings, Single-Family Houses and Multi-Family Houses, five EU Countries, to evaluate retrofitting cost towards buildings smartification assess score when different scenarios are applied. To that end, a three-step assessment process is adopted. First, calculated for baseline scenario representing national minimum requirements according EPBD. Next, after applying includes market available technologies Nearly Zero Energy Buildings. Last, more comprehensive integrated Positive Buildings assessed. Results indicate constructed implementation EPBD, can increase smartness with relatively low than older although their initial overall generally leads an Class G (0–20%), performing better "Health, well-being accessibility" "Comfort" impact categories. Smart-orientated focusing on building automation control measures such class up "C" (65–80%), optimizing energy efficiency retrofits NZEB. Applying could potentially lead positiveness mainly supports interaction grid.

Language: Английский

Citations

45

Towards Nearly Zero-Energy Buildings: Smart Energy Management of Vehicle-to-Building (V2B) Strategy and Renewable Energy Sources DOI

Kai-Yun Lo,

Jian Hern Yeoh, I-Yun Lisa Hsieh

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104941 - 104941

Published: Sept. 17, 2023

Language: Английский

Citations

34

Machine learning for performance prediction in smart buildings: Photovoltaic self-consumption and life cycle cost optimization DOI
Hashem Amini Toosi, Claudio Del Pero, Fabrizio Leonforte

et al.

Applied Energy, Journal Year: 2023, Volume and Issue: 334, P. 120648 - 120648

Published: Jan. 20, 2023

Language: Английский

Citations

31