{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:02:21Z","timestamp":1777888941685,"version":"3.51.4"},"reference-count":0,"publisher":"Advances in Artificial Intelligence and Machine Learning","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AAIML"],"published-print":{"date-parts":[[2026]]},"abstract":"<jats:p>This paper presents a machine learning\u2013based Smart Home Energy Management System designed to predict both household electricity consumption and rooftop solar power generation.\nIt incorporates a structured pipeline for data preprocessing and feature extraction, enriched\nwith contextual variables such as weather conditions and calendar information. sequence-tosequence learning using convolutional neural networks (CNNs) and long short-term memory (LSTM) architectures is implemented. For comparative evaluation, a robust tree-based\nmodel serves as a baseline. Model performance is evaluated using standard metrics, including\nMAE, RMSE, and \ud835\udc45\n2\nalong with peak oriented metrics to assess ramp rate and peak fidelity.\nAdditionally, a lightweight web front-end based is developed to provide real-time inference\nand interactive visualization for decision support. The results show that LSTM achieved\nthe highest accuracy in global metrics and was therefore adopted as the system\u2019s forecasting\nbackbone.<\/jats:p>","DOI":"10.54364\/aaiml.2026.62286","type":"journal-article","created":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T05:54:19Z","timestamp":1773381259000},"page":"5160-5175","source":"Crossref","is-referenced-by-count":0,"title":["Joint Forecasting of Residential Energy Consumption and Solar Generation Using Advanced AI Architectures"],"prefix":"10.54364","volume":"06","author":[{"given":"Milia","family":"Habib","sequence":"first","affiliation":[]},{"given":"Majd Al","family":"Ayoubi","sequence":"additional","affiliation":[]},{"given":"Mohamad","family":"Kanaan","sequence":"additional","affiliation":[]},{"given":"Zaher","family":"Merhi","sequence":"additional","affiliation":[]}],"member":"32807","published-online":{"date-parts":[[2026]]},"container-title":["Advances in Artificial Intelligence and Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/www.oajaiml.com\/uploads\/archivepdf\/392662286.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:03:11Z","timestamp":1777611791000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.oajaiml.com\/uploads\/archivepdf\/392662286.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":0,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2026]]},"published-print":{"date-parts":[[2026]]}},"URL":"https:\/\/doi.org\/10.54364\/aaiml.2026.62286","relation":{},"ISSN":["2582-9793"],"issn-type":[{"value":"2582-9793","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}