| Title |
Toward Cleaner Industries: Smart Cities' Impact on Predictive Air Quality Management |
| ID_Doc |
42972 |
| Authors |
Chatterjee, K; Raju, M; Thara, MN; Reddy, MS; Priyadharshini, M; Selvamuthukumaran, N; Mallik, S; Alshahrani, HM; Abbas, M; Soufiene, B |
| Title |
Toward Cleaner Industries: Smart Cities' Impact on Predictive Air Quality Management |
| Year |
2024 |
| Published |
|
| DOI |
10.1109/ACCESS.2024.3406502 |
| Abstract |
The Smart City (SC) framework has garnered global recognition for its transformative influence on society through innovative solutions. However, the extensive use of Internet of Things (IoT) devices in SCs raises concerns regarding electronic waste and resource consumption. Addressing this challenge necessitates integrating smart grid systems to safeguard SC residents' environment and well-being. Accurate air quality prediction is essential for informed societal decisions, safe transportation, and disaster preparedness. This study introduces a novel approach: Towards Cleaner Industries: Smart Cities' Impact on Predictive Air Quality Management (SPAM). The SPAM model utilizes a bidirectional stacking mechanism of long short-term memory neural networks, considering spatiotemporal correlations to forecast future air pollutant concentrations. Surpassing conventional methods, SPAM model enhances accuracy while reducing computational complexity. Experimental findings demonstrate enhanced efficiency and accuracy, underscoring its practicality in industrial contexts. The SPAM model represents a significant advancement in promoting environmental sustainability within the SC framework. |
| Author Keywords |
Atmospheric modeling; Predictive models; Data models; Spatiotemporal phenomena; Meteorology; Mathematical models; Air quality; Internet of Things; Smart cities; Smart grids; Atmospheric measurements; Weather forecasting; air pollutant concentrations (APCs); Internet of Things (IoT); meteorological factors (MFs); smart city (SC); spatiotemporal; weather smart grid (WSG) |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001242960500001 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
https://ieeexplore.ieee.org/ielx7/6287639/6514899/10540115.pdf
|