Sustainable urban energy solutions: Forecasting energy production for hybrid solar-wind systems

A Javaid, M Sajid, E Uddin, A Waqas, Y Ayaz - Energy Conversion and …, 2024 - Elsevier
In recent years, hybrid Solar-Wind energy system has emerged as a viable solution to
achieve sustainable energy generation and alleviate the burden on the power grid …

Comprehensive analysis of solar panel performance and correlations with meteorological parameters

P Sarmah, D Das, M Saikia, V Kumar, SK Yadav… - ACS …, 2023 - ACS Publications
To mitigate the adverse effects of fossil fuel-based energy, mankind is in constant search of
clean and cost-effective sources of energy, such as solar energy. The economic viability of a …

[HTML][HTML] Forecasting hydrogen production from wind energy in a suburban environment using machine learning

A Javaid, U Javaid, M Sajid, M Rashid, E Uddin, Y Ayaz… - Energies, 2022 - mdpi.com
The environment is seriously threatened by the rising energy demand and the use of
conventional energy sources. Renewable energy sources including hydro, solar, and wind …

A solar irradiance forecasting framework based on the CEE-WGAN-LSTM model

Q Li, D Zhang, K Yan - Sensors, 2023 - mdpi.com
With the rapid development of solar energy plants in recent years, the accurate prediction of
solar power generation has become an important and challenging problem in modern …

Investigating the energy production through sustainable sources by incorporating multifarious machine learning methodologies

U Javaid, RM Usman, A Javaid - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Artificial Intelligence (AI) has the potential to revolutionize the way we predict and manage
energy generation from solar and wind sources. It can greatly enhance the accuracy and …

Performance analysis of MW-scale grid connected rooftop and ground-mounted solar power plants installed in Assam, India

D Das, S Saikia, SJ Saharia, S Mahapatra - Energy for Sustainable …, 2023 - Elsevier
Solar energy-based electricity generation has become an essential component of
sustainable development and meeting the growing demand for energy. A study is conducted …

Assessment of solar load models for bifacial PV panels

B Rasheed, A Safdar, M Sajid, S Ali… - Frontiers in Energy …, 2022 - frontiersin.org
Solar load is one of the key inputs in thermal analysis of all solar based applications using
ray tracing. Commercial and academic Computational Fluid Dynamics (CFD) codes …

Forecasting of Solar Irradiation Based on the Deep Learning Model Using Complete Ensemble Empirical Mode Decomposition Technique.

A Gupta - Strategic Planning for Energy & the Environment, 2024 - search.ebscohost.com
Since solar energy plants have been develo** so quickly in recent years, accurate solar
power forecasting plays a significant role in contemporary intelligent grid systems and setup …

Short Term Forecasting of Solar Irradiance Using Ensemble CNN-BiLSTM-MLP Model Combined with Error Minimization and CEEMDAN Pre-Processing Technique

RK Srivastava, A Gupta - Journal of Solar Energy Research, 2024 - jser.ut.ac.ir
Solar energy forecasting is necessary due to its variable and fluctuating nature, but it is also
a challenge to predict accurately behaviour of solar irradiation. To capture this, the proposed …

Shifting energy horizons: utilizing ai-driven energy forecasting for hydrogen production in urban environments

A Javaid, MF Faiz, RM Usman - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The depletion of hydrocarbon supplies has spurred a global paradigm shift toward
renewable energy sources, generating an urgent need for creative solutions that can satisfy …