Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Energetics Systems and artificial intelligence: Applications of industry 4.0
Industrial development with the growth, strengthening, stability, technical advancement,
reliability, selection, and dynamic response of the power system is essential. Governments …
reliability, selection, and dynamic response of the power system is essential. Governments …
A review of machine learning in building load prediction
The surge of machine learning and increasing data accessibility in buildings provide great
opportunities for applying machine learning to building energy system modeling and …
opportunities for applying machine learning to building energy system modeling and …
AI-empowered methods for smart energy consumption: A review of load forecasting, anomaly detection and demand response
This comprehensive review paper aims to provide an in-depth analysis of the most recent
developments in the applications of artificial intelligence (AI) techniques, with an emphasis …
developments in the applications of artificial intelligence (AI) techniques, with an emphasis …
Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network …
M Alizamir, J Shiri, AF Fard, S Kim, ARD Gorgij… - … Applications of Artificial …, 2023 - Elsevier
Accurate daily solar radiation prediction is a crucial task for the management and generation
of solar energy as one of the alternatives to fossil fuels. In this study, the prediction accuracy …
of solar energy as one of the alternatives to fossil fuels. In this study, the prediction accuracy …
Machine learning for estimation of building energy consumption and performance: a review
S Seyedzadeh, FP Rahimian, I Glesk… - Visualization in …, 2018 - Springer
Ever growing population and progressive municipal business demands for constructing new
buildings are known as the foremost contributor to greenhouse gasses. Therefore …
buildings are known as the foremost contributor to greenhouse gasses. Therefore …
Surrogate modelling for sustainable building design–A review
P Westermann, R Evins - Energy and buildings, 2019 - Elsevier
Statistical models can be used as surrogates of detailed simulation models. Their key
advantage is that they are evaluated at low computational cost which can remove …
advantage is that they are evaluated at low computational cost which can remove …
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model
In this research, a machine learning model namely extreme learning machine (ELM) is
proposed to predict the compressive strength of foamed concrete. The potential of the ELM …
proposed to predict the compressive strength of foamed concrete. The potential of the ELM …
[HTML][HTML] Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China
Accurate estimation of global solar radiation (R s) is essential to the design and assessment
of solar energy utilization systems. Existing empirical and machine learning models for …
of solar energy utilization systems. Existing empirical and machine learning models for …
Building simulations supporting decision making in early design–A review
T Østergård, RL Jensen, SE Maagaard - Renewable and Sustainable …, 2016 - Elsevier
The building design community is challenged by continuously increasing energy demands,
which are often combined with ambitious goals for indoor environment, for environmental …
which are often combined with ambitious goals for indoor environment, for environmental …
Application and characterization of metamodels based on artificial neural networks for building performance simulation: A systematic review
ND Roman, F Bre, VD Fachinotti, R Lamberts - Energy and Buildings, 2020 - Elsevier
In most of the countries, buildings are often one of the major energy consumers, leading to
the necessity of achieving sustainable building designs, and to the mandatory use of …
the necessity of achieving sustainable building designs, and to the mandatory use of …