Combining a deep learning model with multivariate empirical mode decomposition for hourly global horizontal irradiance forecasting

P Gupta, R Singh - Renewable Energy, 2023 - Elsevier
Accurate and reliable global horizontal irradiance forecasting is one of the solutions for the
associated problems with grid-integrated PV plants. This study proposes a novel hybrid …

A robust regressor model for estimating solar radiation using an ensemble stacking approach based on machine learning

R Gupta, AK Yadav, SK Jha… - International Journal of …, 2024 - Taylor & Francis
Of late, with the rapid advancement in solar power generation, some difficulties have
cropped up due to solar intermittency, necessitating an accurate forecast of Global …

Short-term wind power prediction method based on multivariate signal decomposition and RIME optimization algorithm

Y Wang, L Pei, W Li, Y Zhao, Y Shan - Expert Systems with Applications, 2025 - Elsevier
Accurate characterization of the dynamics of wind power systems under highly unstable
conditions is essential for short-term wind power forecasting. Multivariate factors, such as …

Forecasting hourly day-ahead solar photovoltaic power generation by assembling a new adaptive multivariate data analysis with a long short-term memory network

P Gupta, R Singh - Sustainable Energy, Grids and Networks, 2023 - Elsevier
Accurate multi-step PV power forecasting is a challenging task because of complex time
series and error buildup in muti-step forecasts. This work is based on develo** a …

Mode decomposition based large margin distribution machines for sediment load prediction

BB Hazarika, D Gupta - Expert Systems with Applications, 2023 - Elsevier
Precise suspended sediment load (SSL) prediction is essential for irrigation, hydropower
and river management practices. But due to some external factors such as high altitude …

Machine learning-based prediction and mathematical optimization of Capecitabine solubility through the supercritical CO2 system

AJ Obaidullah, AA Almehizia - Journal of Molecular Liquids, 2023 - Elsevier
This work represents development of computational intelligence models for assessment of
estimating solubility/bioavailability of orally-taken drugs in SCF (supercritical fluid). The SCF …

[HTML][HTML] Accurate Forecasting of Global Horizontal Irradiance in Saudi Arabia: A Comparative Study of Machine Learning Predictive Models and Feature Selection …

AA Imam, A Abusorrah, MMA Seedahmed… - Mathematics, 2024 - mdpi.com
The growing interest in solar energy stems from its potential to reduce greenhouse gas
emissions. Global horizontal irradiance (GHI) is a crucial determinant of the productivity of …

Improved second-harmonic imaging of ultrasound contrast agents using VGG-style network with adaptively decomposed ultrasound RF signals

J Zhu, Y Zhang, B He, Z Li, L **ong, X Lang - Biomedical Signal Processing …, 2024 - Elsevier
Accurately distinguishing between ultrasound contrast agents (UCAs) and tissue
components is crucial for suppressing the influence of tissue and enhancing the second …

Proposing an innovative model for solar irradiance and wind speed forecasting

X Liu - Applied Thermal Engineering, 2025 - Elsevier
To optimize hydrogen refueling stations (HRS), which are reliant on renewable energy
sources such as solar and wind, it is imperative to have precise predictions of wind speed …

Evaluating landslide susceptibility and landscape changes due to road expansion using optimized machine learning

S Alqadhi, HT Hang, J Mallick, AFS Al Asmari - Natural Hazards, 2024 - Springer
Abstract The Garhwal and Kumaun regions of the Himalayas of India have experienced
rapid urbanisation due to the expansion of the national highway (NH-58) in Uttarakhand …