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Ramendra Prasad | Researchclopedia

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Ramendra Prasad

University of Fiji ORCID

61

Works

3,262

Citations

28

h-index

39

i10-index

Research Topics

Energy Load and Power Forecasting Hydrological Forecasting Using AI Solar Radiation and Photovoltaics

Affiliations

RTX (United States)2012–2012

University of Southern Queensland2016–2019

University of Fiji2015–2025

Wake Forest University2022–2022

Fiji National University2017–2017

Top Works

Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition

Mumtaz Ali,Ramendra Prasad

2019233 citations

Plant Water Relations and Carbon Dynamics

Hydrology and Watershed Management Studies

Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

Ramendra Prasad,Ravinesh C. Deo,et al.

2018215 citations

Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

Mumtaz Ali,Ramendra Prasad,et al.

2020211 citations

Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation

Ramendra Prasad,Mumtaz Ali,et al.

2018193 citations

Designing Deep-Based Learning Flood Forecast Model With ConvLSTM Hybrid Algorithm

Mohammed Moishin,Ravinesh C. Deo,et al.

2021189 citations

Multimodal feature fusion for robust event detection in web videos

Prem Natarajan,Shuang Wu,et al.

2012180 citations

Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm

Ramendra Prasad,Ravinesh C. Deo,et al.

2017174 citations

Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach

Ramendra Prasad,Ravinesh C. Deo,et al.

2019153 citations

Near real-time wind speed forecast model with bidirectional LSTM networks

Lionel Joseph,Ravinesh C. Deo,et al.

2023149 citations