{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T20:59:51Z","timestamp":1776977991774,"version":"3.51.4"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T00:00:00Z","timestamp":1751500800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T00:00:00Z","timestamp":1751500800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,7,3]]},"DOI":"10.1109\/icecet63943.2025.11472035","type":"proceedings-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T19:42:35Z","timestamp":1775763755000},"page":"1-3","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Energy Trading in Saudi Smart Cities via Evolutionary Deep Learning"],"prefix":"10.1109","author":[{"given":"Abdulaziz","family":"Almalaq","sequence":"first","affiliation":[{"name":"University of Hail,Department of Electrical Engineering,Hail,Saudi Arabia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2887023"},{"issue":"3","key":"ref2","first-page":"1235","article-title":"Smart city energy management using machine learning techniques: A case study of Saudi Arabia","volume":"14","author":"Alghamdi","year":"2023","journal-title":"J. Ambient Intell. Humaniz. Comput."},{"key":"ref3","first-page":"345","article-title":"Energy-efficient smart grid design for sustainable urban development in Saudi Arabia","volume-title":"Proc. IEEE Int. Conf. Sustain. Energy Technol. (ICSET)","author":"Al-Ahmadi"},{"key":"ref4","first-page":"111","article-title":"Sustainable small-scale energy systems for smart cities: A review","volume":"67","author":"Alanne","year":"2017","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref5","first-page":"1","article-title":"On techno-economic evaluation of residential renewable energy systems in Qatar and Saudi Arabia","volume-title":"Proc. IEEE GCC Conf. Exhib.","author":"Albadi"},{"key":"ref6","first-page":"2722","article-title":"A comprehensive overview on the data driven and hybrid models for energy forecasting","volume":"81","author":"Ahmad","year":"2018","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref8","first-page":"1472","article-title":"A hybrid model of genetic algorithm and deep learning for short-term load forecasting","volume":"158","author":"Wang","year":"2019","journal-title":"Energy Procedia"},{"key":"ref9","first-page":"147432","article-title":"Smart grid energy management using deep learning: Review and future directions","volume":"9","author":"Hannan","year":"2021","journal-title":"IEEE Access"},{"issue":"5","key":"ref10","first-page":"3191","article-title":"Peer-to-peer energy trading in smart grids using blockchain and machine learning","volume":"18","author":"Al-Ja\u2019afreh","year":"2022","journal-title":"IEEE Trans. Ind. Informat."},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1090.001.0001"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/mhs.1995.494215"},{"key":"ref15","first-page":"1","article-title":"Short-term electric load forecasting using LSTM with genetic algorithm optimization","volume-title":"Proc. IEEE Int. Conf. Power Electron., Smart Grid Renew. Energy (PESGRE)","author":"Alam"},{"key":"ref16","first-page":"105779","article-title":"Evolutionary neural network optimization using genetic algorithms for energy consumption prediction","volume":"85","author":"Mi","year":"2019","journal-title":"Appl. Soft Comput."},{"key":"ref17","first-page":"110292","article-title":"Forecasting energy consumption of buildings using hybrid genetic algorithm and extreme learning machine","volume":"225","author":"Jiang","year":"2020","journal-title":"Energy Build."},{"key":"ref18","first-page":"1047","article-title":"IoT-enabled smart grid energy trading using blockchain technology","volume":"112","author":"Al-Turjman","year":"2020","journal-title":"Future Gener. Comput. Syst."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.17775\/CSEEJPES.2019.00920"}],"event":{"name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","location":"Paris, France","start":{"date-parts":[[2025,7,3]]},"end":{"date-parts":[[2025,7,6]]}},"container-title":["2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11471878\/11471697\/11472035.pdf?arnumber=11472035","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T19:58:53Z","timestamp":1776974333000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11472035\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,3]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icecet63943.2025.11472035","relation":{},"subject":[],"published":{"date-parts":[[2025,7,3]]}}}