Developing an Urban Computing Framework for Smart and Sustainable Neighborhoods: A Case Study of Alkhaledia in Jizan City, Saudi Arabia
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Tahar Ledraa & Abdulaziz Aldegheishem, 2022. "What Matters Most for Neighborhood Greenspace Usability and Satisfaction in Riyadh: Size or Distance to Home?," Sustainability, MDPI, vol. 14(10), pages 1-13, May.
- Mohammed Mashary Alnaim & Emad Noaime, 2022. "Typological Transformation of Individual Housing in Hail City, Saudi Arabia: Between Functional Needs, Socio-Cultural, and Build Polices Concerns," Sustainability, MDPI, vol. 14(11), pages 1-28, May.
- Rubén Pérez-Chacón & José M. Luna-Romera & Alicia Troncoso & Francisco Martínez-Álvarez & José C. Riquelme, 2018. "Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities," Energies, MDPI, vol. 11(3), pages 1-19, March.
- Mohammed Abdulfattah Bay & Mohammed Mashary Alnaim & Ghazy Abdullah Albaqawy & Emad Noaime, 2022. "The Heritage Jewel of Saudi Arabia: A Descriptive Analysis of the Heritage Management and Development Activities in the At-Turaif District in Ad-Dir’iyah, a World Heritage Site (WHS)," Sustainability, MDPI, vol. 14(17), pages 1-24, August.
- Habib M. Alshuwaikhat & Yusuf A. Adenle & Thamer Almuhaidib, 2022. "A Lifecycle-Based Smart Sustainable City Strategic Framework for Realizing Smart and Sustainability Initiatives in Riyadh City," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Abdullah Addas, 2023. "Role of Urban Planning Standards in Improving Lifestyle in a Sustainable System," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Evelina Di Corso & Tania Cerquitelli & Daniele Apiletti, 2018. "METATECH: METeorological Data Analysis for Thermal Energy CHaracterization by Means of Self-Learning Transparent Models," Energies, MDPI, vol. 11(6), pages 1-24, May.
- Rongheng Lin & Budan Wu & Yun Su, 2018. "An Adaptive Weighted Pearson Similarity Measurement Method for Load Curve Clustering," Energies, MDPI, vol. 11(9), pages 1-17, September.
- César Benavente-Peces & Nisrine Ibadah, 2020. "Buildings Energy Efficiency Analysis and Classification Using Various Machine Learning Technique Classifiers," Energies, MDPI, vol. 13(13), pages 1-24, July.
- Ewa Chodakowska & Joanicjusz Nazarko & Łukasz Nazarko, 2021. "ARIMA Models in Electrical Load Forecasting and Their Robustness to Noise," Energies, MDPI, vol. 14(23), pages 1-22, November.
- Fan Yang & Qian Mao, 2023. "Auto-Evaluation Model for the Prediction of Building Energy Consumption That Combines Modified Kalman Filtering and Long Short-Term Memory," Sustainability, MDPI, vol. 15(22), pages 1-16, November.
- Dana-Mihaela Petroșanu & George Căruțașu & Nicoleta Luminița Căruțașu & Alexandru Pîrjan, 2019. "A Review of the Recent Developments in Integrating Machine Learning Models with Sensor Devices in the Smart Buildings Sector with a View to Attaining Enhanced Sensing, Energy Efficiency, and Optimal B," Energies, MDPI, vol. 12(24), pages 1-64, December.
- Mohammed Alnahhal†& Omar Antar & Ahmad Sakhrieh & Muataz Al Hazza, 2024. "Analyzing Energy Consumption in Universities: A Literature Review," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 18-27, May.
- Cezary Stępniak & Dorota Jelonek & Magdalena Wyrwicka & Iwona Chomiak-Orsa, 2021. "Integration of the Infrastructure of Systems Used in Smart Cities for the Planning of Transport and Communication Systems in Cities," Energies, MDPI, vol. 14(11), pages 1-19, May.
- Paweł Dymora & Mirosław Mazurek & Bartosz Sudek, 2021. "Comparative Analysis of Selected Open-Source Solutions for Traffic Balancing in Server Infrastructures Providing WWW Service," Energies, MDPI, vol. 14(22), pages 1-23, November.
- Simona Vasilica Oprea & Adela Bâra, 2019. "Big Data Solutions for Efficient Operation of Microgrids," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 266-271, August.
- Ana De Las Heras & Amalia Luque-Sendra & Francisco Zamora-Polo, 2020. "Machine Learning Technologies for Sustainability in Smart Cities in the Post-COVID Era," Sustainability, MDPI, vol. 12(22), pages 1-25, November.
- Sana Mujeeb & Nadeem Javaid & Manzoor Ilahi & Zahid Wadud & Farruh Ishmanov & Muhammad Khalil Afzal, 2019. "Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities," Sustainability, MDPI, vol. 11(4), pages 1-29, February.
- Yueshan Ma & Paul Brindley & Eckart Lange, 2022. "The Influence of Socio-Demographic Factors on Preference and Park Usage in Guangzhou, China," Land, MDPI, vol. 11(8), pages 1-15, August.
- Paraskevi Giourka & Mark W. J. L. Sanders & Komninos Angelakoglou & Dionysis Pramangioulis & Nikos Nikolopoulos & Dimitrios Rakopoulos & Athanasios Tryferidis & Dimitrios Tzovaras, 2019. "The Smart City Business Model Canvas—A Smart City Business Modeling Framework and Practical Tool," Energies, MDPI, vol. 12(24), pages 1-17, December.
- Jovani Taveira de Souza & Antonio Carlos de Francisco & Cassiano Moro Piekarski & Guilherme Francisco do Prado, 2019. "Data Mining and Machine Learning to Promote Smart Cities: A Systematic Review from 2000 to 2018," Sustainability, MDPI, vol. 11(4), pages 1-14, February.
- J. R. S. Iruela & L. G. B. Ruiz & M. I. Capel & M. C. Pegalajar, 2021. "A TensorFlow Approach to Data Analysis for Time Series Forecasting in the Energy-Efficiency Realm," Energies, MDPI, vol. 14(13), pages 1-22, July.
- Mario Klarić & Igor Kuzle & Ninoslav Holjevac, 2018. "Wind Power Monitoring and Control Based on Synchrophasor Measurement Data Mining," Energies, MDPI, vol. 11(12), pages 1-23, December.
- Shahzad Aslam & Nasir Ayub & Umer Farooq & Muhammad Junaid Alvi & Fahad R. Albogamy & Gul Rukh & Syed Irtaza Haider & Ahmad Taher Azar & Rasool Bukhsh, 2021. "Towards Electric Price and Load Forecasting Using CNN-Based Ensembler in Smart Grid," Sustainability, MDPI, vol. 13(22), pages 1-28, November.
- Silvia Mazzetto & Fiorella Vanini, 2023. "Urban Heritage in Saudi Arabia: Comparison and Assessment of Sustainable Reuses," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
- Károly Németh & Mohammed Rashad Moufti, 2023. "Lava Flow Hazard and Its Implication in Geopark Development for the Active Harrat Khaybar Intracontinental Monogenetic Volcanic Field, Saudi Arabia," Land, MDPI, vol. 12(3), pages 1-29, March.
More about this item
Keywords
smart neighborhood; sustainable indicators; urban informatics; urban sustainability; Saudi cities;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4057-:d:1077795. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.