Modelling and evaluation of the Baseline Energy Consumption and the Key Performance Indicators in Technical University of Cluj‐Napoca buildings within a Demand Response programme: a case study-Reference-Cited by-同舟云学术

Modelling and evaluation of the Baseline Energy Consumption and the Key Performance Indicators in Technical University of Cluj‐Napoca buildings within a Demand Response programme: a case study

Published:2020-11 Issue:15 Volume:14 Page:2864-2875
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Crețu Mihaela¹^ORCID,Czumbil Levente¹,Bârgăuan Bogdan¹,Ceclan Andrei¹,Berciu Alexandru¹^ORCID,Polycarpou Alexis²,Rizzo Renato³,Micu Dan D.¹

Affiliation:

1. Electrotechnics and Measurements DepartmentTechnical University of Cluj‐NapocaCluj‐NapocaRomania

2. Electrical Engineering DepartmentFrederick UniversityNicosiaCyprus

3. Electrical Engineering and Information Technology DepartmentFederico II University of NaplesItaly

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2020.0096

Reference48 articles.

1. A multi‐regional based hybrid method for assessing life cycle energy use of buildings: a case study;Hong J.;J. Clean. Prod.,2017

2. Analysis of typical public building energy consumption in northern China;Ma H.;Energy Build.,2017

3. A study on energy performance of 30 commercial office buildings in Hong Kong;Jing R.;Energy Build.,2017

4. A data‐driven analysis of building energy use with emphasis on operation and maintenance: a case study from the UAE;Lin M.;J. Clean. Prod.,2018

5. Energy consumption model with energy use factors of tenants in commercial buildings using Gaussian process regression;Yoon Y.R.;Energy Build.,2018

Cited by 10 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. Energy Pulse: Competitive and Accessible Application for Monitoring Electricity Consumption;Springer Proceedings in Mathematics & Statistics;2024

2. Benefits and barriers concerning demand response stakeholder value chain: A systematic literature review;Energy;2023-10

3. Analysis and simulation of a hybrid energy system using HOMER Pro for TUCN blocks of buildings ^*Note: Sub-titles are not captured in Xplore and should not be used;2023 10th International Conference on Modern Power Systems (MPS);2023-06-21

4. Deep Neural Networks in Power Systems: A Review;Energies;2023-06-17

5. Improving the Efficiency of Electricity Consumption by Applying Real-Time Fuzzy and Fractional Control;Mathematics;2022-10-15