{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T21:41:33Z","timestamp":1780609293630,"version":"3.54.1"},"reference-count":0,"publisher":"Kaunas University of Technology (KTU)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ITC"],"abstract":"<jats:p>Accurate time-series forecasting is challenging when multiple\u00a0seasonalities\u00a0interact with non-linear effects. We present MP-Transformer, a hybrid\" decompose-then-refine\" framework that couples an interpretable Multi-Period ARIMA baseline with a dynamically\u00a0gated attention residual learner. The ARIMA\u00a0component\u00a0extracts dominant linear trends and multi-scale seasonality via seasonal phase templates with synchronous differencing, yielding an\u00a0approximately stationary\u00a0residual series and an interpretable baseline. A Transformer then models the remaining non-linear dynamics using a gated fusion of global attention (for long-range periodic dependencies) and content-driven Top-k local attention (for abrupt short-term variations). Period contributions are learned through non-negative, normalized gating weights. Across multiple real-world datasets, MP-Transformer consistently improves multi-horizon accuracy over statistical, deep, and hybrid baselines.\u00a0The\u00a0results\u00a0demonstrate\u00a0that combining explicit linear decomposition with implicit residual learning yields robust, data-efficient forecasting and enhanced interpretability.\u00a0<\/jats:p>","DOI":"10.5755\/j01.itc.55.1.43646","type":"journal-article","created":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T06:40:42Z","timestamp":1775198442000},"page":"243-256","source":"Crossref","is-referenced-by-count":1,"title":["MP-Transformer: A Hybrid Model Integrating Multi-Period ARIMA\u00a0and Dynamically Gated Attention\u00a0for Time-Series Forecasting"],"prefix":"10.5755","volume":"55","author":[{"given":"Yunlong","family":"Shi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weijie","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"3786","published-online":{"date-parts":[[2026,4,3]]},"container-title":["Information Technology and Control"],"original-title":[],"link":[{"URL":"https:\/\/itc.ktu.lt\/index.php\/ITC\/article\/download\/43646\/21750","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/itc.ktu.lt\/index.php\/ITC\/article\/download\/43646\/21750","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T05:25:36Z","timestamp":1778822736000},"score":1,"resource":{"primary":{"URL":"https:\/\/itc.ktu.lt\/index.php\/ITC\/article\/view\/43646"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,3]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,3,25]]}},"URL":"https:\/\/doi.org\/10.5755\/j01.itc.55.1.43646","relation":{},"ISSN":["2335-884X","1392-124X"],"issn-type":[{"value":"2335-884X","type":"electronic"},{"value":"1392-124X","type":"print"}],"subject":[],"published":{"date-parts":[[2026,4,3]]}}}