{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T02:01:41Z","timestamp":1778637701513,"version":"3.51.4"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"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":[[2019,2]]},"DOI":"10.1109\/icaiic.2019.8668971","type":"proceedings-article","created":{"date-parts":[[2019,3,22]],"date-time":"2019-03-22T02:03:36Z","timestamp":1553220216000},"page":"1-6","source":"Crossref","is-referenced-by-count":12,"title":["Evolutionary Ensemble LSTM based Household Peak Demand Prediction"],"prefix":"10.1109","author":[{"given":"Songpu","family":"Ai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antorweep","family":"Chakravorty","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunming","family":"Rong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-4371(00)00479-9"},{"key":"ref11","first-page":"190","article-title":"Training and Analysing Deep Recurrent Neural Networks","author":"hermans","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ROMA.2014.7295871"},{"key":"ref13","first-page":"1","article-title":"Household Energy Consumption Prediction using Evolutionary Ensemble Neural Network","author":"ai","year":"2018","journal-title":"2018 13th World Congress On Engineering Asset Management (WCEAM)"},{"key":"ref14","article-title":"Python 3.0 Release","year":"2018","journal-title":"Python Org"},{"key":"ref15","article-title":"TensorFlow","year":"2018","journal-title":"TensorFlow™"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2016.03.047"},{"key":"ref3","first-page":"1","article-title":"Study on Operation of Energy Storage in Electrical Power Microgrid - Modeling and Simulation","author":"pawelek","year":"2010","journal-title":"14th International Conference on Harmonics and Quality of Power (ICHQP)"},{"key":"ref6","first-page":"1","article-title":"Long Short-term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling","author":"sak","year":"2014","journal-title":"Annual Conference of the International Speech Communication Association"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long Short-Term Memory","volume":"9","author":"hochreiter","year":"1997","journal-title":"Neural Computation"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2016.7793413"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/BCD2018.2018.00023"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1016\/j.apenergy.2007.09.006","article-title":"Prospects for and Barriers to Domestic Micro-generation: A United Kingdom Perspective","volume":"85","author":"allen","year":"2008","journal-title":"Applied Energy"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEA.2014.6931143"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/EAIT.2018.8470406"}],"event":{"name":"2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","location":"Okinawa, Japan","start":{"date-parts":[[2019,2,11]]},"end":{"date-parts":[[2019,2,13]]}},"container-title":["2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8665865\/8668840\/08668971.pdf?arnumber=8668971","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:13:26Z","timestamp":1657854806000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8668971\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/icaiic.2019.8668971","relation":{},"subject":[],"published":{"date-parts":[[2019,2]]}}}