Seasonal variation in household electricity demand: A comparison of monitored and synthetic daily load profiles-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Seasonal variation in household electricity demand: A comparison of monitored and synthetic daily load profiles

Published:2018-11 Issue: Volume:179 Page:292-300
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Li Matthew^ORCID,Allinson David^ORCID,He Miaomiao

Funder

EPSRC

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference40 articles.

1. Energy Demand Research Project: Early Smart Meter Trials, 2007-2010.;AECOM Building Engineering,2014

2. Calculating and graphing within-subject confidence intervals for ANOVA;Baguley;Behav. Res. Methods,2012

3. Annex: 1990-2015 UK Greenhouse Gas Emissions, Final Figures by End User;BEIS,2017

4. Digest of united kingdom energy statistics (DUKES) 2017;BEIS;BEIS, London,2017

5. Updated energy and emissions projections 2016;BEIS;BEIS, London,2017

Cited by 25 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. Estimating sensitivity of interrupted energy and outage costs for customers in government, institutions and office buildings due to distribution grid failures using multilevel Monte Carlo technique;Energy and Buildings;2024-11

2. Strategic DG placement and sizing in developing nations' power systems using ISNT and modified forward-backward sweep;Engineering Research Express;2024-08-28

3. Least-cost solutions to household energy supply decarbonisation in temperate and sub-tropical climates;Journal of Cleaner Production;2024-04

4. Evaluation and calibration of reanalysis weather data using ground measured data in Java-Bali Region in relation to energy;AIP Conference Proceedings;2024

5. Stochastic generation of residential load profiles with realistic variability based on wavelet-decomposed smart meter data;Applied Energy;2023-11

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

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