Building electric energy prediction modeling for BEMS using easily obtainable weather factors with Kriging model and data mining
Author:
Publisher
Springer Science and Business Media LLC
Subject
Energy (miscellaneous),Building and Construction
Link
http://link.springer.com/article/10.1007/s12273-018-0440-1/fulltext.html
Reference33 articles.
1. Azadeh A, Ghaderi SF, Sohrabkhani S (2008). Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors. Energy Conversion and Management, 49: 2272–2278.
2. Brown M, Barrington-Leigh C, Brown Z (2012). Kernel regression for real-time building energy analysis. Journal of Building Performance Simulation, 5: 263–276.
3. Caldas LG, Norford LK (2002). A design optimization tool based on a genetic algorithm. Automation in Construction, 11: 173–184.
4. Caldas LG, Norford LK (2003). Genetic Algorithms for Optimization of Building Envelopes and the Design and Control of HVAC Systems. Journal of Solar Energy Engineering, 125: 343–351.
5. Catalina T, Virgone J, Blanco E (2008). Development and validation of regression models to predict monthly heating demand for residential buildings. Energy and Buildings, 40: 1825–1832.
Cited by 11 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. Weather and climate data for energy applications;Renewable and Sustainable Energy Reviews;2024-03
2. Prediction and optimization of screening performance of three-deck vibrating screen based on surrogate model;International Journal of Coal Preparation and Utilization;2023-05-16
3. Methods and applications for Artificial Intelligence, Big Data, Internet of Things, and Blockchain in smart energy management;Energy and AI;2023-01
4. A Comparative Analysis of Data Mining Methods for Weather Prediction;2021 International Conference on Computational Performance Evaluation (ComPE);2021-12-01
5. Assessment of long short-term memory and its modifications for enhanced short-term building energy predictions;Journal of Building Engineering;2021-11
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