Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing Sustainable Urban Energy Management through Short-Term Wind Power Forecasting Using LSTM Neural Network Subject The topic of the resource LSTM; short-term wind power forecasting; urban city energy management systems; wind energy forecasting Description An account of the resource Integrating wind energy forecasting into urban city energy management systems offers significant potential for optimizing energy usage, reducing the carbon footprint, and improving overall energy efficiency. This article focuses on developing a wind power forecasting model using cutting-edge technologies to enhance urban city energy management systems. To effectively manage wind energy availability, a strategy is proposed to curtail energy consumption during periods of low wind energy availability and boost consumption during periods of high wind energy availability. For this purpose, an LSTM-based model is employed to forecast short-term wind power, leveraging a publicly available dataset. The LSTM model is trained with 27,310 instances and 10 wind energy system attributes, which were selected using the Pearson correlation feature selection method to identify crucial features. The evaluation of the LSTM-based forecasting model yields an impressive R2 score of 0.9107. The models performance metrics attest to its high accuracy, explaining a substantial proportion of the variance in the test data. This study not only contributes to advancing wind power forecasting, but also holds promise for sustainable urban energy management, enabling cities to make informed decisions in optimizing energy consumption and promoting a greener, more resilient future. 2023 by the authors. Creator An entity primarily responsible for making the resource Kanagarathinam K.; Aruna S.K.; Ravivarman S.; Safran M.; Alfarhood S.; Alrajhi W. Source A related resource from which the described resource is derived Sustainability (Switzerland), Vol-15, No. 18 Publisher An entity responsible for making the resource available Multidisciplinary Digital Publishing Institute (MDPI) Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/su151813424" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/su151813424</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172864555&amp;doi=10.3390%2Fsu151813424&amp;partnerID=40&amp;md5=c9615f35f0b9e0b7ac70a0f67273dba5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172864555&amp;doi=10.3390%2fsu151813424&amp;partnerID=40&amp;md5=c9615f35f0b9e0b7ac70a0f67273dba5</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20711050 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kanagarathinam K., Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, 532127, India; Aruna S.K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560029, India; Ravivarman S., Department of Electrical and Electronics Engineering, Vardhaman College of Engineering, Shamshabad, 501218, India; Safran M., Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Saudi Arabia; Alfarhood S., Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Saudi Arabia; Alrajhi W., Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Saudi Arabia