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Solar Irradiance Forecasting Based on Deep Learning Methodologies and Multi-Site Data

Symmetry (Basel), 2020-11, Vol.12 (11), p.1830

2020

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Visualizing solar irradiance data in ArcGIS and forecasting based on a novel deep neural network mechanism

Multimedia tools and applications, 2022-03, Vol.81 (7), p.9015-9043

2022

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Adaptive wind data normalization to improve the performance of forecasting models

Wind engineering, 2022-10, Vol.46 (5), p.1606-1617

2022

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Dynamic selection of normalization techniques using data complexity measures

Expert systems with applications, 2018-09, Vol.106, p.252-262

2018

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A residual ensemble learning approach for solar irradiance forecasting

Multimedia tools and applications, 2023-09, Vol.82 (21), p.33087-33109

2023

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A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network

Knowledge-based systems, 2023-01, Vol.259, p.110070, Article 110070

2023

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Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data

Expert systems with applications, 2022-12, Vol.209, p.118260, Article 118260

2022

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Comprehensive analysis of change-point dynamics detection in time series data: A review

Expert systems with applications, 2024-08, Vol.248, p.123342, Article 123342

2024

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Analysis of parametric and non-parametric regression techniques to model the wind turbine power curve

Wind engineering, 2019-06, Vol.43 (3), p.225-232

2019

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Trend triplet based data clustering for eliminating nonlinear trend components of wind time series to improve the performance of statistical forecasting models

Multimedia tools and applications, 2022-09, Vol.81 (23), p.33927-33953

2022

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An analysis of “A feature reduced intrusion detection system using ANN classifier” by Akashdeep et al. expert systems with applications (2017)

Expert systems with applications, 2019-09, Vol.130, p.79-83

2019

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Multistage traffic sign recognition under harsh environment

Multimedia tools and applications, 2024-03

2024

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Analysis of wind power curve modeling using multi-model regression

Wind engineering, 2024-06, Vol.48 (3), p.425-435

2024

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Data complexity-based dynamic ensembling of SVMs in classification

Expert systems with applications, 2023-04, Vol.216, p.119437, Article 119437

2023

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Discrete wavelet transforms based hybrid approach to forecast wind speed time series

Wind engineering, 2021-12, Vol.45 (6), p.1623-1635

2021

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Data complexity based hybrid approach to select a model for wind speed forecasting

Energy sources. Part A, Recovery, utilization, and environmental effects, 2021-04, Vol.ahead-of-print (ahead-of-print), p.1-18

2021

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Trend-based time series data clustering for wind speed forecasting

Wind engineering, 2021-08, Vol.45 (4), p.992-1001

2021

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Attention mechanism for developing wind speed and solar irradiance forecasting models

Wind engineering, 2021-12, Vol.45 (6), p.1422-1432

2021

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Performance monitoring of wind turbines using advanced statistical methods

Sadhana (Bangalore), 2019-07, Vol.44 (7), p.1-11, Article 163

2019

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Data complexity measures for classification of a multi-concept dataset

Multimedia tools and applications, 2024-04

2024

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ECG Based Heart Disease Classification: Advancement and Review of Techniques

Procedia computer science, 2024, Vol.235, p.1634-1648

2024

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Data Mining Based Techniques for Covid-19 Predictions

Procedia computer science, 2023-01, Vol.218, p.210-219

2023

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Statistical Time Series Models for Wind Speed Forecasting

High Performance Vision Intelligence, 2020, Vol.913, p.233-243

2020

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Neural Network Based Mortality Prediction in Covid-19 Dataset

Artificial Intelligence of Things, p.354-366

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Comparative Analysis of Adaptive Filters for Predicting Wind-Power Generation (SLMS, NLMS, SGDLMS, WLMS, RLMS)

Intelligent Systems Design and Applications, 2018, Vol.736, p.858-867

2018

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Solar Irradiance Forecasting Based on Deep Learning Methodologies and Multi-Site Data

Visualizing solar irradiance data in ArcGIS and forecasting based on a novel deep neural network mechanism

Adaptive wind data normalization to improve the performance of forecasting models

Dynamic selection of normalization techniques using data complexity measures

A residual ensemble learning approach for solar irradiance forecasting

A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network

Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data

Comprehensive analysis of change-point dynamics detection in time series data: A review

Analysis of parametric and non-parametric regression techniques to model the wind turbine power curve

Trend triplet based data clustering for eliminating nonlinear trend components of wind time series to improve the performance of statistical forecasting models

An analysis of “A feature reduced intrusion detection system using ANN classifier” by Akashdeep et al. expert systems with applications (2017)

Multistage traffic sign recognition under harsh environment

Analysis of wind power curve modeling using multi-model regression

Data complexity-based dynamic ensembling of SVMs in classification

Discrete wavelet transforms based hybrid approach to forecast wind speed time series

Data complexity based hybrid approach to select a model for wind speed forecasting

Trend-based time series data clustering for wind speed forecasting

Attention mechanism for developing wind speed and solar irradiance forecasting models

Performance monitoring of wind turbines using advanced statistical methods

Data complexity measures for classification of a multi-concept dataset

ECG Based Heart Disease Classification: Advancement and Review of Techniques

Data Mining Based Techniques for Covid-19 Predictions

Statistical Time Series Models for Wind Speed Forecasting

Neural Network Based Mortality Prediction in Covid-19 Dataset

Comparative Analysis of Adaptive Filters for Predicting Wind-Power Generation (SLMS, NLMS, SGDLMS, WLMS, RLMS)

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