Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Sustainable urban energy solutions: Forecasting energy production for hybrid solar-wind systems
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 …
achieve sustainable energy generation and alleviate the burden on the power grid …
Comprehensive analysis of solar panel performance and correlations with meteorological parameters
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 …
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
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 …
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 …
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
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 …
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 …
sustainable development and meeting the growing demand for energy. A study is conducted …
Assessment of solar load models for bifacial PV panels
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 …
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 …
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 …
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
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 …
renewable energy sources, generating an urgent need for creative solutions that can satisfy …