Short Term Load Forecasting using Smart Meter Data
Author:
Affiliation:
1. Department of Computer Science, Lahore University of Management Sciences, Lahore, Pakistan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3307772.3330173
Reference7 articles.
1. F. Javed N. Arshad F. Wallin I. Vassileva and E. Dahlquist. 2012. Forecasting for demand response in smart grids: An analysis on use of anthropologic and structural data and short term multiple loads forecasting. Applied Energy 96. F. Javed N. Arshad F. Wallin I. Vassileva and E. Dahlquist. 2012. Forecasting for demand response in smart grids: An analysis on use of anthropologic and structural data and short term multiple loads forecasting. Applied Energy 96.
2. Segmenting Residential Smart Meter Data for Short-Term Load Forecasting
3. Short-term residential load forecasting based on LSTM recurrent neural network;Kong W.;IEEE Trans. on Smart Grid.,2017
4. P. Lusis K.R. Khalilpour L. Andrew and A. Liebman. 2017. Short-term residential load forecasting: Impact of calendar effects and forecast granularity. Applied Energy. P. Lusis K.R. Khalilpour L. Andrew and A. Liebman. 2017. Short-term residential load forecasting: Impact of calendar effects and forecast granularity. Applied Energy.
Cited by 24 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. Innovative Load Forecasting Models and Intelligent Control Strategy for Enhancing Distributed Load Levelling Techniques in Resilient Smart Grids;Electronics;2024-09-06
2. Information We Can Extract About a User from ‘One Minute Mobile Application Usage’;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2023-05-20
3. Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data;Journal of Computational Biology;2023-04-01
4. Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location;Journal of Computational Biology;2023-04-01
5. PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification;Communications in Computer and Information Science;2023
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