Hybrid adaptive neuro-fuzzy inference system (ANFIS) for a multi-campus university energy consumption forecast-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Hybrid adaptive neuro-fuzzy inference system (ANFIS) for a multi-campus university energy consumption forecast

Published:2020-01-31 Issue: Volume: Page:1-10
ISSN:0143-0750
Container-title:International Journal of Ambient Energy
language:en
Short-container-title:International Journal of Ambient Energy

Author:

Adedeji Paul A.¹,Akinlabi Stephen²³,Madushele Nkosinathi¹,Olatunji Obafemi O.¹

Affiliation:

1. Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa

2. Department of Mechanical and Industrial Engineering, University of Johannesburg, Johannesburg, South Africa

3. Department of Mechanical Engineering, Covenant University, Ota, Nigeria

Publisher

Informa UK Limited

Subject

Building and Construction,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/01430750.2020.1719885

Reference34 articles.

1. Adaptive Neuro-fuzzy Inference System (ANFIS) Modelling in Energy System and Water Resources

2. Electricity consumption forecasting models for administration buildings of the UK higher education sector

3. Forecasting energy consumption using ensemble ARIMA–ANFIS hybrid algorithm

4. The Box Jenkins Approach to Forecast Net Electricity Consumption in Turkey

5. A hybrid ANFIS model for business failure prediction utilizing particle swarm optimization and subtractive clustering

Cited by 34 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. A comprehensive survey on load forecasting hybrid models: Navigating the Futuristic demand response patterns through experts and intelligent systems;Results in Engineering;2024-09

2. IMPROVEMENT IN THE RECAST LAYER THICKNESS, CORNER RADIUS AND SURFACE ROUGHNESS OF MONEL K 400 THROUGH CFRP, NANO-SiC, AND ZrSiO₄ PARTICLES ADDED WIRE EDM;Surface Review and Letters;2024-07-12

3. Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector;Energy;2024-07

4. Efficiency Assessment of ANN, ANFIS, and PSO-ANFIS for Predicting University Residence Energy Usage;2024 18th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS);2024-06-24

5. Investigating the influence of clustering techniques and parameters on a hybrid PSO-driven ANFIS model for electricity prediction;Discover Applied Sciences;2024-05-13

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