{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T21:46:04Z","timestamp":1768340764022,"version":"3.49.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T00:00:00Z","timestamp":1632268800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T00:00:00Z","timestamp":1632268800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T00:00:00Z","timestamp":1632268800000},"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":[[2021,9,22]]},"DOI":"10.1109\/idaacs53288.2021.9660955","type":"proceedings-article","created":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T20:43:03Z","timestamp":1641415383000},"page":"1083-1088","source":"Crossref","is-referenced-by-count":6,"title":["Forecasting Day-Ahead Electricity Price with Artificial Neural Networks: a Comparison of Architectures"],"prefix":"10.1109","author":[{"given":"Milutin","family":"Pavicevic","sequence":"first","affiliation":[]},{"given":"Tomo","family":"Popovic","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"37","author":"beigaite","year":"2017","journal-title":"Electricity price forecasting for Nord Pool data"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015015"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/en11051255"},{"key":"ref13","article-title":"Recurrent Neural Networks for Electricity Price Prediction, Time-Series Analysis with Exogenous Variables","author":"bouley","year":"2020","journal-title":"VTT Technical Research Centre of Finland Tekniikantie 4A Espoo Finland"},{"key":"ref14","author":"klesic","year":"2018","journal-title":"Prognoza cijene elektricne energije"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1080\/1350486X.2020.1805337","article-title":"Electricity Price Forecasting with Neural Networks on EPEX Order Books","volume":"27","author":"wagner","year":"2020","journal-title":"Applied Mathematical Finance"},{"key":"ref16","article-title":"5 Regression Loss Functions All Machine Learners Should Know","author":"grover","year":"2018","journal-title":"Heartbeat"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2014.08.008"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eneco.2016.08.008"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1111\/risa.13192","article-title":"A Data-Driven Approach to Assessing Supply Inadequacy Risks Due to Climate- Induced Shifts in Electricity Demand","volume":"39","author":"nateghi","year":"2019","journal-title":"Risk Anal"},{"key":"ref4","author":"guo","year":"0","journal-title":"Entity embeddings of categorical variables"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.137"},{"key":"ref6","volume":"1 3","author":"brownlee","year":"2018","journal-title":"Deep Learning for Time Series Forecasting Predict the Future With MLPs CNNs and LSTMs in Python"},{"key":"ref5","article-title":"Normalization Techniques in Training DNNs: Methodology, Analysis and Application","volume":"1","author":"huang","year":"0","journal-title":"Meth Appl Anal"},{"key":"ref8","author":"bai","year":"2018","journal-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling"},{"key":"ref7","author":"nielsen","year":"2015","journal-title":"Neural Networks and Deep Learning"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eneco.2017.12.016"},{"key":"ref1","author":"cabarkapa","year":"0","journal-title":"Analysis of Day-ahead Electricity Price Fluctuations in the Regional Market and the Perspectives of the Pumped Storage Hydro Power Plant &#x201C;Bistrica"},{"key":"ref9","author":"tan","year":"0","journal-title":"Farewell RNNs Welcome TCNs How Temporal Convolutional Networks are &#x2026; I Aug 2020 I Towards Data Science"},{"key":"ref20","first-page":"1139","volume":"28","author":"sutskever","year":"2013","journal-title":"Of the importance of initialization and momentum of deep learning"},{"key":"ref21","article-title":"Time Series Nested Cross-Validation","author":"cochrane","year":"2018","journal-title":"Towards Data Science"}],"event":{"name":"2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","location":"Cracow, Poland","start":{"date-parts":[[2021,9,22]]},"end":{"date-parts":[[2021,9,25]]}},"container-title":["2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9660827\/9660386\/09660955.pdf?arnumber=9660955","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:56:47Z","timestamp":1652201807000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9660955\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,22]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/idaacs53288.2021.9660955","relation":{},"subject":[],"published":{"date-parts":[[2021,9,22]]}}}