{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T09:12:33Z","timestamp":1730279553428,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"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":[[2019,10]]},"DOI":"10.1109\/iwbis.2019.8935844","type":"proceedings-article","created":{"date-parts":[[2019,12,20]],"date-time":"2019-12-20T00:32:44Z","timestamp":1576801964000},"page":"15-20","source":"Crossref","is-referenced-by-count":4,"title":["Consumption Prediction on Steam Power Plant Using Data Mining Hybrid Particle Swarm Optimization (PSO) and Auto Regressive Integrated Moving Average (ARIMA)"],"prefix":"10.1109","author":[{"given":"Rinaldi","family":"Rusli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Achmad Nizar","family":"Hidayanto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yova","family":"Ruldeviyani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"1942","author":"kennedy","year":"1995","journal-title":"Particle Swarm Optimization"},{"journal-title":"Batubara Pemanfaatan dan Pengelolaannya di Lingkungan PT PLN (Persero)","year":"2015","author":"mudakkir","key":"ref11"},{"journal-title":"Pedoman Manajemen Batubara Pembangkit di Lingkungan PT PLN (Persero)","year":"2016","key":"ref12"},{"journal-title":"Principles of Forecasting A Handbook for Researchers and Practitioners","year":"2002","author":"armstrong","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5120\/903-1279"},{"journal-title":"Data Mining Concepts and Techniques","year":"2012","author":"han","key":"ref15"},{"journal-title":"A Review and Comparison of Methods for Detecting Outliers in Univariate Data Sets","year":"2006","author":"seo","key":"ref16"},{"key":"ref4","first-page":"1","article-title":"Electricity Sales Forecasting Using Hybrid ARIMA and Soft Computing Approaches in the Absence of Explanatory Variables","author":"shao","year":"2018","journal-title":"MDPI Energies"},{"key":"ref3","first-page":"347","author":"camelo","year":"2018","journal-title":"Innovative Hybrid Models For Forecasting Time Series Applied in Wind Generation Based On The Combination of Time Series Models With Artificial Neural Network"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2010.10.015"},{"journal-title":"An introductory study on time series modeling and forecasting","year":"2013","author":"adhikari","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2638902"},{"key":"ref7","article-title":"A set-based genetic algorithm for interval many-objective optimization problems","volume":"pp","author":"gong","year":"2016","journal-title":"IEEE Trans Evol Compute"},{"key":"ref2","first-page":"272","author":"wang","year":"2018","journal-title":"Has China&#x2019;s Coal Consumption Already Peaked? A Demand Side Analysis Based on Hybrid Prediction Models"},{"journal-title":"PLN Statistics 2016","year":"2017","key":"ref1"},{"key":"ref9","first-page":"162","author":"wang","year":"2018","journal-title":"A Hybrid Particle Swarm Optimization Algorithm Using Adaptive Learning Strategy"}],"event":{"name":"2019 International Workshop on Big Data and Information Security (IWBIS)","start":{"date-parts":[[2019,10,11]]},"location":"Bali, Indonesia","end":{"date-parts":[[2019,10,11]]}},"container-title":["2019 International Workshop on Big Data and Information Security (IWBIS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8932634\/8935669\/08935844.pdf?arnumber=8935844","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T20:18:35Z","timestamp":1658261915000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8935844\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/iwbis.2019.8935844","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}