{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:32:42Z","timestamp":1730298762451,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T00:00:00Z","timestamp":1676851200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T00:00:00Z","timestamp":1676851200000},"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":[[2023,2,20]]},"DOI":"10.1109\/ssd58187.2023.10411175","type":"proceedings-article","created":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T18:46:57Z","timestamp":1707245217000},"page":"1057-1062","source":"Crossref","is-referenced-by-count":0,"title":["Energy management and load forecasting in Smart grid"],"prefix":"10.1109","author":[{"given":"Monia","family":"Bartouli","sequence":"first","affiliation":[{"name":"University of Monastir, Faculty of Sciences Avenue of the Environment,Laboratory of Micro-Optoelectronics and Nanostructures (LR99\/E929),Monastir,Tunisia,5019"}]},{"given":"Abdelhamid","family":"Helali","sequence":"additional","affiliation":[{"name":"University of Monastir, Faculty of Sciences Avenue of the Environment,Laboratory of Micro-Optoelectronics and Nanostructures (LR99\/E929),Monastir,Tunisia,5019"}]},{"given":"Fredj","family":"Hassen","sequence":"additional","affiliation":[{"name":"University of Monastir, Faculty of Sciences Avenue of the Environment,Laboratory of Micro-Optoelectronics and Nanostructures (LR99\/E929),Monastir,Tunisia,5019"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/NAPS.2011.6025124"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2277171"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.omega.2014.08.008"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tdc.1996.547580"},{"issue":"1","key":"ref5","article-title":"Intelligent neural network based STLF","volume":"4","author":"Shayeghi","year":"2009","journal-title":"International Journal of Computer Systems Science and Engineering"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/59.207323"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/NAPS.2017.8107271"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.7323\/ijeset\/v1_i2_12"},{"issue":"05","key":"ref9","first-page":"45","article-title":"Medium and long term electricity consumption prediction based on spatial similarity and deep learning Zhejiang","volume":"40","author":"Jianguang","year":"2021","journal-title":"Electr Power"},{"issue":"04","key":"ref10","first-page":"30","article-title":"Zhang Tianan Research on monthly electricity consumption forecast of office buildings based on gradient boosting tree","volume":"37","author":"Hongbin","year":"2021","journal-title":"Electr Power Sci Eng"},{"key":"ref11","first-page":"96","article-title":"Cai Xuanye Guizhou province electricity consumption forecast based on artificial neural network","volume":"12","author":"Yilei","year":"2020","journal-title":"Product Res"},{"journal-title":"Wang Hongjia Power demand analysis and mid- and long-term forecast of Qingyuan city based on ANN-ARIMA model Jilin University","year":"2020","key":"ref12"},{"issue":"10","key":"ref13","first-page":"14","article-title":"Forecast and analysis of household electricity consumption based on BP neural network","volume":"11","author":"Qingqing","year":"2020","journal-title":"Mod Build Electr"},{"issue":"20","key":"ref14","first-page":"129","article-title":"Chen Xiaoyun Research on regional short-term electricity consumption forecasting method based on hybrid cluster analysis","volume":"28","author":"Chao","year":"2020","journal-title":"Electron Des Eng"},{"issue":"09","key":"ref15","first-page":"104","article-title":"Song Qianyun Research on regional short-term electricity consumption forecasting method based on hybrid cluster analysis","volume":"36","year":"2020","journal-title":"Microcomput Appl"},{"journal-title":"Research on short-term electricity consumption prediction based on deep neural network Shenyang Institute of Technology","year":"2020","author":"Xuanwen","key":"ref16"},{"key":"ref17","first-page":"28","volume":"1","author":"Haizhen","year":"2017","journal-title":"Zhu Jiaming Analysis of influencing factors of residential electricity consumption based on multiple linear regression model J Xichang Coll (Nat Sci Ed)"},{"key":"ref18","first-page":"188","article-title":"Power consumption forecast based on particle swarm optimization","volume":"11","author":"Zheng","year":"2014","journal-title":"SVR Sci Technol Manage Res"},{"key":"ref19","first-page":"25","article-title":"Electricity consumption prediction based on LSTM neural network","volume":"8","author":"Yaoqiang","year":"2017","journal-title":"Electr Power Big Data"},{"issue":"8","key":"ref20","doi-asserted-by":"crossref","first-page":"2040","DOI":"10.1016\/j.rser.2007.04.010","article-title":"Short-term prediction of household electricity consumption: Assessing weather sensitivity in a mediterranean area","volume":"12","author":"M","year":"2008","journal-title":"Renew Sustain Energy Rev"},{"issue":"003","key":"ref21","first-page":"912","article-title":"Research on electricity consumption prediction based on ABC-BP neural network","volume":"22","author":"Chen","year":"2014","journal-title":"Comput Meas Control"},{"issue":"003","key":"ref22","first-page":"44","article-title":"State evaluation method of electric energy metering device based on vertical and horizontal cross optimization gray model","volume":"033","author":"Shengke","year":"2018","journal-title":"J Electr Power Sci Technol"},{"key":"ref23","article-title":"Short-term load forecasting and risk analysis based on support vector one-quantile regression","author":"Hong","year":"2016","journal-title":"J Electr Power Sci Technol"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1142\/S012906571350024X"},{"article-title":"Gradient flow in recurrent nets: the difficulty of learning long-term dependencies","year":"2001","author":"Hochreiter","key":"ref25"},{"article-title":"An empirical exploration of recurrent network architectures","volume-title":"Proceedings of the 32nd International Conference on Machine Learning (ICML-15)","author":"Jozefowicz","key":"ref26"},{"article-title":"Gradient flow in recurrent nets: the difficulty of learning long-term dependencies","year":"2001","author":"Hochreiter","key":"ref27"}],"event":{"name":"2023 20th International Multi-Conference on Systems, Signals & Devices (SSD)","start":{"date-parts":[[2023,2,20]]},"location":"Mahdia, Tunisia","end":{"date-parts":[[2023,2,23]]}},"container-title":["2023 20th International Multi-Conference on Systems, Signals &amp; Devices (SSD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10411147\/10411148\/10411175.pdf?arnumber=10411175","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T04:57:03Z","timestamp":1710392223000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10411175\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,20]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ssd58187.2023.10411175","relation":{},"subject":[],"published":{"date-parts":[[2023,2,20]]}}}