Short-term load forecasting based on multivariate time series prediction and weighted neural network with random weights and kernels
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
http://link.springer.com/article/10.1007/s10586-017-1685-7/fulltext.html
Reference41 articles.
1. Gross, G., Galiana, F.D.: Short-term load forecasting. Proc. IEEE 75(12), 1558–1573 (1987)
2. Papalexopoulos, A.D., Hesterberg, T.C.: A regression-based approach to short-term system load forecasting. IEEE Trans. Power Syst. 5(4), 1535–1547 (1990)
3. Chen, B.-J., Chang, M.-W., Lin, C.-J.: Load forecasting using support vector machines: a study on EUNITE competition 2001. IEEE Trans. Power Syst. 19(4), 1821–1830 (2004)
4. Park, D.C., et al.: Electric load forecasting using an artificial neural network. IEEE Trans. Power Syst. 6(2), 442–449 (1991)
5. Lertpalangsunti, N., Chan, C.: An architectural framework for the construction of hybrid intelligent forecasting systems: application for electricity demand prediction. Eng. Appl. Artif. Intell. 11(4), 549–565 (1998)
Cited by 36 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A method of operation status evaluation and fault diagnosis for PV arrays in the scenario of digitalization;Energy Reports;2024-12
2. Short-term Power Load Forecasting Based on TCN-BiLSTM-Attention and Multi-feature Fusion;Arabian Journal for Science and Engineering;2024-07-31
3. Mixformer: An improved self-attention architecture applied to multivariate chaotic time series prediction;Expert Systems with Applications;2024-05
4. A Method of Operation Status Evaluation and Fault Diagnosis For Pv Arrays In the Scenario of Digitalization;2024
5. Multivariate Load Forecasting Method of Integrated Energy System Based on MC-CNN-DBiLSTM Model;Environmental Science and Engineering;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3