Novel application of adaptive swarm intelligence techniques coupled with adaptive network-based fuzzy inference system in predicting photovoltaic power
Accurate photovoltaic (PV) power prediction is necessary for future development of the micro-
grids projects and the economic dispatch sector. This study investigates the potential of …
grids projects and the economic dispatch sector. This study investigates the potential of …
Improvement of support vector machine algorithm in big data background
B Gaye, D Zhang, A Wulamu - Mathematical Problems in …, 2021 - Wiley Online Library
With the rapid development of the Internet and the rapid development of big data analysis
technology, data mining has played a positive role in promoting industry and academia …
technology, data mining has played a positive role in promoting industry and academia …
Data-driven diagnosis of cervical cancer with support vector machine-based approaches
W Wu, H Zhou - IEEE Access, 2017 - ieeexplore.ieee.org
Cervical cancer, as the fourth most common cause of death from cancer among women, has
no symptoms in the early stage. There are few methods to diagnose cervical cancer …
no symptoms in the early stage. There are few methods to diagnose cervical cancer …
Long term performance, losses and efficiency analysis of a 960 kWP photovoltaic system in the Mediterranean climate
This paper investigates the performance of a 960 kWP photovoltaic (PV) system, located in
southern Italy. Monitoring data over a 43 months period are used to evaluate the monthly …
southern Italy. Monitoring data over a 43 months period are used to evaluate the monthly …
CNN-based health model for regular health factors analysis in internet-of-medical things environment
Remote health monitoring applications with the advent of Internet of Things (IoT)
technologies have changed traditional healthcare services. Additionally, in terms of …
technologies have changed traditional healthcare services. Additionally, in terms of …
Ensemble approach of optimized artificial neural networks for solar photovoltaic power prediction
The use of data-driven ensemble approaches for the prediction of the solar Photovoltaic
(PV) power production is promising due to their capability of handling the intermittent nature …
(PV) power production is promising due to their capability of handling the intermittent nature …
An integrated framework of gated recurrent unit based on improved sine cosine algorithm for photovoltaic power forecasting
H Ma, C Zhang, T Peng, MS Nazir, Y Li - Energy, 2022 - Elsevier
Accurate prediction of photovoltaic power is of great significance to the storage and
utilization of solar power. In this research, a deep learning model for photovoltaic power …
utilization of solar power. In this research, a deep learning model for photovoltaic power …
Prediction of photovoltaic power by the informer model based on convolutional neural network
Z Wu, F Pan, D Li, H He, T Zhang, S Yang - Sustainability, 2022 - mdpi.com
Accurate prediction of photovoltaic power is of great significance to the safe operation of
power grids. In order to improve the prediction accuracy, a similar day clustering …
power grids. In order to improve the prediction accuracy, a similar day clustering …
Real-time fault detection in PV systems under MPPT using PMU and high-frequency multi-sensor data through online PCA-KDE-based multivariate KL divergence
This paper considers data-based real-time adaptive Fault Detection (FD) in Grid-connected
PV (GPV) systems under Power Point Tracking (PPT) modes during large variations. Faults …
PV (GPV) systems under Power Point Tracking (PPT) modes during large variations. Faults …
Time series forecasting of solar power generation using Facebook prophet and XG boost
In recent years solar energy penetration in local grids is increasing, resulting in a reduction
in reliability, so smart grid planning is required to improve grid reliability and leverage the …
in reliability, so smart grid planning is required to improve grid reliability and leverage the …