Performance improvement of empirical models for estimation of global solar radiation in India: A k-fold cross-validation approach

S Saud, B Jamil, Y Upadhyay, K Irshad - Sustainable Energy Technologies …, 2020 - Elsevier
In this work, global solar radiation is estimated based on sunshine duration. Solar radiation
measurements have been collected from the Indian Meteorological Department (Pune …

New ridge regression, artificial neural networks and support vector machine for wind speed prediction

Y Zheng, Y Ge, S Muhsen, S Wang… - … in Engineering Software, 2023 - Elsevier
For wind energy conversion systems (WECS), forecasting wind speed is crucial for meeting
customer demands while monitoring, controlling, planning, and dispatching the electricity …

Transforming healthcare with big data analytics: technologies, techniques and prospects

MAS Gomes, JL Kovaleski, RN Pagani… - Journal of Medical …, 2023 - Taylor & Francis
In different studies in the field of healthcare, big data analytics technology has been shown
to be effective in observing the behaviour of data, of which analysed to allow the discovery of …

Mid-term prediction of electrical energy consumption for crude oil pipelines using a hybrid algorithm of support vector machine and genetic algorithm

L Xu, L Hou, Z Zhu, Y Li, J Liu, T Lei, X Wu - Energy, 2021 - Elsevier
The mid-term electrical energy consumption forecasting for crude oil pipelines is helpful for
making important decisions, such as energy consumption target setting, unit commitment …

[HTML][HTML] A smart fault detection approach for PV modules using Adaptive Neuro-Fuzzy Inference framework

M Abbas, D Zhang - Energy Reports, 2021 - Elsevier
This paper presents an intelligent photovoltaic (PV) fault detection system using Adaptive
Neuro-Fuzzy Inference System (ANFIS) methodology. To accomplish this objective, it is …

A deep neural network architecture to model reference evapotranspiration using a single input meteorological parameter

SM Ravindran, SKM Bhaskaran, SKN Ambat - Environmental processes, 2021 - Springer
Hydro-agrological research considers the reference evapotranspiration (ETo), driven by
meteorological variables, crucial for achieving precise irrigation in precision agriculture. ETo …

[HTML][HTML] Wind speed prediction using measurements from neighboring locations and combining the extreme learning machine and the AdaBoost algorithm

L Wang, Y Guo, M Fan, X Li - Energy Reports, 2022 - Elsevier
Wind speed prediction plays an essential role in wind energy utilization. However, most
existing studies of wind speed forecasting used data from one location to build models and …

Software defect prediction ensemble learning algorithm based on adaptive variable sparrow search algorithm

Y Tang, Q Dai, M Yang, T Du, L Chen - International Journal of Machine …, 2023 - Springer
Software defect prediction has caused widespread concern among software engineering
researchers, which aims to erect a software defect prediction model according to historical …

Application of novel hybrid machine learning approach for estimation of ultimate bond strength between ultra-high performance concrete and reinforced bar

X You, G Yan, MM Al-Masoudy, MA Kadimallah… - … in engineering software, 2023 - Elsevier
There are few studies on how ultra-high-performance concrete UHPCs interact with
reinforced bar, and there is less data on non-proprietary UHPCs. On the other hand …

Performance degradation prediction of mechanical equipment based on optimized multi-kernel relevant vector machine and fuzzy information granulation

F Chen, Y Yang, B Tang, B Chen, W Xiao, X Zhong - Measurement, 2020 - Elsevier
An operation condition evaluation and prediction method based on wavelet packet
information entropy and multi-kernel relevance vector machine is proposed for mechanical …