Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting

Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting

Short-term electric load forecasting plays an important role in the management of modern power systems. Improving the accuracy and efficiency of electric load forecasting can help power utilities design reasonable operational planning which will lead to the improvement of economic and social benefit...

Saved in:

書目詳細資料
Main Authors:	Qiu, Xueheng, Suganthan, Ponnuthurai Nagaratnam, Amaratunga, Gehan A. J.
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2020
主題:	Engineering::Electrical and electronic engineering Empirical Mode Decomposition Discrete Wavelet Transform
在線閱讀:	https://hdl.handle.net/10356/139607
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Short-term electricity price forecasting with empirical mode decomposition based ensemble Kernel machines
由: Qiu, Xueheng, et al.
出版: (2018)

Assistive Device For Elderly Rehabilitation: Signal Processing Techniques.
由: SANGIT SASIDHAR
出版: (2013)

A random subspace ensemble classification model for discrimination of power quality events in solar PV microgrid power network
由: Vinayagam, Arangarajan, et al.
出版: (2022)

Random vector functional link neural network based ensemble deep learning for short-term load forecasting
由: Gao, Ruobin, et al.
出版: (2023)

End-effect, stopping criterion, mode mixing and confidence limit for the Hilbert-Huang transform
由: LANDEL JULIEN REMY DOMINIQUE GERARD
出版: (2010)

Time series forecasting using wavelet and support vector machine
由: FONG KENG MUN
出版: (2010)

A hybrid shape-adaptive orthogonal transform for coding of image segments
由: Bi, M., et al.
出版: (2014)

A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
由: Li, Ruilin, et al.
出版: (2023)

Analysis of schizophrenic EEG synchrony using empirical mode decomposition
由: Ziqiang, Z., et al.
出版: (2014)

Using signal processing techniques in promoter prediction
由: ZHANG XUEJUAN
出版: (2014)

Application of EMD in fringe analysis: new developments
由: Wang, Chenxing, et al.
出版: (2018)

Emd and psychoacoustic model based watermarking for audio
由: Wang, L., et al.
出版: (2013)

Embedded color image coding using SPIHT with partially linked spatial orientation trees
由: Kassim, A.A., et al.
出版: (2014)

Analysis and detection of human motion in time-frequency domain
由: NYAN MYO NAING
出版: (2010)

An ensemble of decision trees with random vector functional link networks for multi-class classification
由: Katuwal, Rakesh, et al.
出版: (2020)

Random vector functional link neural network based ensemble deep learning
由: Shi, Qiushi, et al.
出版: (2022)

Time series classification using diversified Ensemble Deep Random Vector Functional Link and Resnet features
由: Cheng, Wenxin, et al.
出版: (2022)

Ensemble deep random vector functional link neural network for regression
由: Hu, Minghui, et al.
出版: (2023)

Jointly optimized ensemble deep random vector functional link network for semi-supervised classification
由: Shi, Qiushi, et al.
出版: (2022)

A learning-based method for speed sensor fault diagnosis of induction motor drive systems
由: Xia, Yang, et al.
出版: (2022)

Recovery of incorrectly transmitted DWT-coded images
由: Niu, Y., et al.
出版: (2014)

Wavelet transform and orthogonal decomposition of L2 space on the cartan domain BDI(q = 2)
由: Jiang, Q.
出版: (2014)

Wavelet-based image compression using classified interpolative vector quantization
由: Bi, M., et al.
出版: (2014)

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification
由: Shi, Qiushi, et al.
出版: (2023)

Discrete singular convolution for the prediction of high frequency vibration of plates
由: Zhao, Y.B., et al.
出版: (2014)

Implementation of Karhunen-Loeve expansion for simulation using a wavelet-Galerkin scheme
由: Phoon, K.K., et al.
出版: (2014)

Maximum-likelihood detection in DWT domain image watermarking using Laplacian modeling
由: Ng, T.M., et al.
出版: (2014)

An enhanced ensemble deep random vector functional link network for driver fatigue recognition
由: Li, Ruilin, et al.
出版: (2024)

Performance of the color set partitioning in hierarchical tree scheme (CSPIHT) in video coding
由: Kassim, A.A., et al.
出版: (2014)

A spectral-ensemble deep random vector functional link network for passive brain–computer interface
由: Li, Ruilin, et al.
出版: (2024)

Micro-doppler mini-UAV classification using empirical-mode decomposition features
由: Oh, Beom-Seok, et al.
出版: (2020)

Ensemble time series forecasting with applications in power systems and financial markets
由: Qiu, Xueheng
出版: (2018)

The application of wavelet transform to analyze the rainfall data
由: Nareemal Hilae
出版: (2018)

Online dynamic ensemble deep random vector functional link neural network for forecasting
由: Gao, Ruobin, et al.
出版: (2024)

Representation learning using deep random vector functional link networks for clustering
由: Hu, Minghui, et al.
出版: (2022)

Handling large-size discrete wavelet transform on network-based computing systems - parallelization via divisible load paradigm
由: Chin, T.T., et al.
出版: (2014)

Progressive audio scrambling in compressed domain
由: Yan, W.-Q., et al.
出版: (2013)

Bayesian optimization based dynamic ensemble for time series forecasting
由: Du, Liang, et al.
出版: (2022)

Efficient architecture for discrete wavelet transform using daubechies
由: Zhang Xiaoyin
出版: (2011)

Stacked autoencoder based deep random vector functional link neural network for classification
由: Katuwal, Rakesh, et al.
出版: (2020)