{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T04:47:21Z","timestamp":1746679641116,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/iwssip48289.2020.9145123","type":"proceedings-article","created":{"date-parts":[[2020,7,21]],"date-time":"2020-07-21T21:18:40Z","timestamp":1595366320000},"page":"441-446","source":"Crossref","is-referenced-by-count":3,"title":["Energy Consumption Prediction using Data Stream Learning for Commercial Buildings"],"prefix":"10.1109","author":[{"given":"Luis Felipe de O.","family":"Fernandes","sequence":"first","affiliation":[]},{"given":"Flavia","family":"Bernardini","sequence":"additional","affiliation":[]},{"given":"Edwin Mitacc","family":"Meza","sequence":"additional","affiliation":[]},{"given":"Leandro","family":"Miranda","sequence":"additional","affiliation":[]},{"given":"Jose","family":"Viterbo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IWBIS.2016.7872898"},{"journal-title":"Predictions in Time Series using Regression Models","year":"2019","author":"terrell","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2014.04.034"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2014.6835941"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2015.04.017"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jnca.2016.11.031","article-title":"Towards next-generation heterogeneous mobile data stream mining applications: Opportunities, challenges, and future research directions","volume":"79","author":"ur rehman","year":"2017","journal-title":"Journal of Network and Computer Applications"},{"key":"ref16","article-title":"Smart grid load forecasting using online support vector regression","author":"vrablecov\u00e1","year":"2017","journal-title":"Computers and Electrical Engineering"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.06.084"},{"journal-title":"Data Mining Practical Machine Learning Tools and Techniques","year":"2016","author":"frank","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2007.03.007"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-4666-3942-3.ch002"},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/10654.001.0001","author":"bifet","year":"2018","journal-title":"Machine Learning for Data Streams with Practical Examples in MOA"},{"journal-title":"Neural Networks and Learning Machines","year":"2009","author":"haykin","key":"ref8"},{"key":"ref7","first-page":"117","author":"vasconcelos","year":"2019","journal-title":"An Experimental Study of Regression Techniques for the Residential Energy Consumption Forecast in the Brazilian Scenario"},{"journal-title":"Predictive Analytics The Power to Predict who Will Click Buy Lie Or Die","year":"2016","author":"siegel","key":"ref2"},{"journal-title":"Do lunch or be lunch The Power of Predictability in Creating Your Future","year":"1997","author":"stevenson","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2523813"}],"event":{"name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","start":{"date-parts":[[2020,7,1]]},"location":"Niter\u00f3i, Brazil","end":{"date-parts":[[2020,7,3]]}},"container-title":["2020 International Conference on Systems, Signals and Image Processing (IWSSIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9138148\/9145030\/09145123.pdf?arnumber=9145123","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:52:10Z","timestamp":1656453130000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9145123\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/iwssip48289.2020.9145123","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}