Short-Term Deterministic Forecasting of Individual Household Electricity Consumption Using the Hungarian Algorithm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Short-Term Deterministic Forecasting of Individual Household Electricity Consumption Using the Hungarian Algorithm

Published:2024-05-06 Issue: Volume:30 Page:1-5
ISSN:
Container-title:2024 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)
language:
Short-container-title:

Author:

McClone Graham¹,Botman Lola²,Khurram Adil¹,De Moor Bart²,Kleissl Jan³

Affiliation:

1. University of California (UCSD),Department of Mechanical and Aerospace Engineering,San Diego,CA,USA,92037

2. Signal Processing and Data Analytics,SIAM, IFAC are with the research group STADIUS Center for Dynamical Systems,Department of Electrical Engineering (ESAT),KU Leuven,Belgium

3. Center for Energy Research,Department of Mechanical and Aerospace Engineering at UCSD

Funder

KU Leuven

European Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10555575/10555892/10555926.pdf?arnumber=10555926

Reference19 articles.

1. A scalable method for probabilistic short-term forecasting of individual households consumption in low voltage grids

2. A new error measure for forecasts of household-level, high resolution electrical energy consumption;Haben;International Journal of Forecasting,2014

3. The Hungarian method for the assignment problem

4. Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network

5. Short term load forecasting using multiple linear regression for big data

同舟云学术

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