Systematic Literature Review of Data Quality in Open Government Data: Trend, Methods, and Applications

Z Zainuddin, EAP Akhir - IEEE Access, 2024 - ieeexplore.ieee.org
An open government data (OGD) is an assortment of datasets dumped by government
agencies into a portal with the goal of promoting the legitimacy and openness of government …

[HTML][HTML] Enhancing microgrid forecasting accuracy with SAQ-MTCLSTM: A self-adjusting quantized multi-task ConvLSTM for optimized solar power and load demand …

E Lodhi, N Dahmani, SMS Bukhari, S Gyawali… - Energy Conversion and …, 2024 - Elsevier
Accurate forecasting of solar power output and load demand is critical for the efficient
operation and management of isolated microgrids, where reliability and sustainability are …

[HTML][HTML] Advancing solar energy forecasting with modified ANN and light GBM learning algorithms

MF Hanif, MS Naveed, M Metwaly, J Si, X Liu, J Mi - AIMS Energy, 2024 - aimspress.com
In the evolving field of solar energy, precise forecasting of Solar Irradiance (SI) stands as a
pivotal challenge for the optimization of photovoltaic (PV) systems. Addressing the …

Weighted Average Ensemble-Based PV Forecasting in a Limited Environment with Missing Data of PV Power

DS Lee, SY Son - Sustainability, 2024 - mdpi.com
Photovoltaic (PV) power is subject to variability, influenced by factors such as meteorological
conditions. This variability introduces uncertainties in forecasting, underscoring the …

Investigation on the enhancement of heat transfer in counterflow double-pipe heat exchanger using nanofluids

V Balan, S Ramakrishnan, G Palani, A Selvaraju - Thermal Science, 2024 - doiserbia.nb.rs
Particles less than 100 nanometers in size are suspended in a base fluid such as water, oil,
and ethylene glycol. These nanoparticles are floating in the nanofluid. The purpose of this …

Development and Performance Analysis of Aquila Algorithm Optimized SPV Power Imputation and Forecasting Models

JV PR, T Vidya, AC Kathiresan - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Solar photovoltaic (SPV) generators play a vital role in the global pursuit of sustainable
energy. However, the intermittent nature of SPV generators poses a challenge to power …

Prediction of nanofluid thermal conductivity and viscosity with machine learning and molecular dynamics

F Ajila, S Manokaran, K Ramaswamy… - Thermal …, 2024 - doiserbia.nb.rs
It is well-known that nanofluids differ significantly from traditional heat transfer fluids in terms
of their thermal and transfer characteristics. Two of CO2 transfer characteristics, its thermal …

Enhanced accuracy in solar irradiance forecasting through machine learning stack-based ensemble approach

MS Naveed, I Iqbal, MF Hanif, J **ao… - International Journal of …, 2025 - Taylor & Francis
Accurate solar irradiance (SI) prediction is vital for optimizing solar photovoltaic systems.
This study addresses shortcomings in existing forecasting methods by exploring advanced …

Innovative simulation of Al2O3 nanofluid heat transfer using advanced machine learning methods

C Serrano, E Jacome, E Pozo, S Choto, P Abarca… - Thermal …, 2024 - doiserbia.nb.rs
In both turbulent and laminar pipe flows, we were able to accurately forecast the beginning
range of the convective thermal transferring coefficients of Al2O3 magnetized nanofluids …

Enhancing Desalination and Liquid Desiccant Regeneration Efficiency Through a Hybrid Solar Still: A Comparative Study With Steel Scrap Thermal Storage

K Kannakumar, A Murugesan… - … Materials for Efficient …, 2024 - igi-global.com
Research has been conducted on the use of hybrid solar stills for desalinating salt water and
regenerating weak liquid desiccant (LD). Different experimental settings were used to …