An artificial intelligence framework for explainable drift detection in energy forecasting-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An artificial intelligence framework for explainable drift detection in energy forecasting

Published:2024-09 Issue: Volume:17 Page:100403
ISSN:2666-5468
Container-title:Energy and AI
language:en
Short-container-title:Energy and AI

Author:

Samarajeewa Chamod,De Silva Daswin^ORCID,Manic Milos,Mills Nishan,Moraliyage Harsha,Alahakoon Damminda,Jennings Andrew

Publisher

Elsevier BV

Reference50 articles.

1. Methods and applications for artificial intelligence, big data, Internet of Things, and blockchain in smart energy management;Li;Energy AI,2023

2. Toward intelligent industrial informatics: A review of current developments and future directions of artificial intelligence in industrial applications;De Silva;IEEE Ind Electron Mag,2020

3. Explainability and interpretability in electric load forecasting using machine learning techniques–A review;Baur;Energy AI,2024

4. When artificial intelligence meets building energy efficiency, a review focusing on zero energy building;Yan;Artif Intell Rev,2021

5. Semi-supervised classification of characterized patterns for demand forecasting using smart electricity meters;De Silva,2011

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