{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T04:44:03Z","timestamp":1785818643575,"version":"3.56.0"},"reference-count":0,"publisher":"State University of Malang (UM)","issue":"2","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-sa\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Knowledge Engineering and Data Science"],"abstract":"<jats:p>Energy use is an essential aspect of many human activities, from individual to industrial scale. However, increasing global energy demand and the challenges posed by environmental change make understanding energy use patterns crucial. Accurate predictions of future energy consumption can greatly influence decision-making, supply-demand stability and energy efficiency. Energy use data often exhibits time-series patterns, which creates complexity in forecasting. To address this complexity, this research utilizes Deep Learning (DL), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), and Gated Recurrent Unit (GRU) models. The main objective is to improve the accuracy of energy usage forecasting by optimizing the alpha value in exponential smoothing, thereby improving forecasting accuracy. The results showed that all DL methods experienced improved accuracy when using optimum alpha. LSTM has the most optimal MAPE, RMSE, and R2 values compared to other methods. This research promotes energy management, decision-making, and efficiency by providing an innovative framework for accurate forecasting of energy use, thus contributing to a sustainable and efficient energy system.<\/jats:p>","DOI":"10.17977\/um018v6i22023p170-187","type":"journal-article","created":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T21:44:51Z","timestamp":1701207891000},"page":"170-187","source":"Crossref","is-referenced-by-count":3,"title":["Deep Learning Approaches with Optimum Alpha for Energy Usage Forecasting"],"prefix":"10.17977","volume":"6","author":[{"given":"Aji Prasetya","family":"Wibawa","sequence":"first","affiliation":[{"name":"Universitas Negeri Malang, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Agung Bella Putra","family":"Utama","sequence":"additional","affiliation":[{"name":"Universitas Negeri Malang, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ade Kurnia Ganesh","family":"Akbari","sequence":"additional","affiliation":[{"name":"Universitas Negeri Malang, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akhmad Fanny","family":"Fadhilla","sequence":"additional","affiliation":[{"name":"Universitas Negeri Malang, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alfiansyah Putra Pertama","family":"Triono","sequence":"additional","affiliation":[{"name":"Universitas Negeri Malang, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andien Khansa\u2019a Iffat","family":"Paramarta","sequence":"additional","affiliation":[{"name":"Universitas Negeri Malang, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Faradini Usha","family":"Setyaputri","sequence":"additional","affiliation":[{"name":"Universitas Negeri Malang, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leonel","family":"Hernandez","sequence":"additional","affiliation":[{"name":"Universitaria de Barranquilla IUB, Columbia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7463","published-online":{"date-parts":[[2023,12,1]]},"container-title":["Knowledge Engineering and Data Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journal2.um.ac.id\/index.php\/keds\/article\/viewFile\/46800\/12029","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journal2.um.ac.id\/index.php\/keds\/article\/viewFile\/46800\/12029","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T03:47:43Z","timestamp":1785815263000},"score":1,"resource":{"primary":{"URL":"https:\/\/citeus.um.ac.id\/keds\/vol6\/iss2\/5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,1]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2023,12,30]]}},"URL":"https:\/\/doi.org\/10.17977\/um018v6i22023p170-187","relation":{},"ISSN":["2597-4637"],"issn-type":[{"value":"2597-4637","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,1]]}}}