A comparative assessment of machine learning and deep learning models for the daily river streamflow forecasting
M Danesh, A Gharehbaghi, S Mehdizadeh… - Water Resources …, 2024 - Springer
Forecasting river streamflow is crucial for hydrological science and optimal water resources
management. In this study, six predictive methods were developed, including three machine …
management. In this study, six predictive methods were developed, including three machine …
Harnessing the power of hybrid deep learning algorithm for the estimation of global horizontal irradiance
Accurately and precisely estimating global horizontal irradiance (GHI) poses significant
challenges due to the unpredictable nature of climate parameters and geographical …
challenges due to the unpredictable nature of climate parameters and geographical …
A bidirectional gated recurrent unit based novel stacking ensemble regressor for foretelling the global horizontal irradiance
R Gupta, A Chandel - Sustainable Computing: Informatics and Systems, 2024 - Elsevier
The rapid expansion of solar power generation has led to new challenges in solar
intermittency, requiring precise forecasts of Global Horizontal Irradiance (GHI). Accurate GHI …
intermittency, requiring precise forecasts of Global Horizontal Irradiance (GHI). Accurate GHI …
Comparative analysis of advanced machine learning classifiers based on feature engineering framework for weather prediction
Rainfall is considered one of the most significant phenomena in the weather system, and as
such its rate is one of the most crucial variables. In order to develop a prediction model by …
such its rate is one of the most crucial variables. In order to develop a prediction model by …
[HTML][HTML] Prediction of electricity consumption using an innovative deep energy predictor model for enhanced accuracy and efficiency
C Ragupathi, S Dhanasekaran, N Vijayalakshmi… - Energy Reports, 2024 - Elsevier
Accurate forecasting of electricity consumption is crucial for efficient energy management
and planning. Traditional models often struggle to capture the complex, nonlinear …
and planning. Traditional models often struggle to capture the complex, nonlinear …
Probabilistic optimal power flow computation for power grid including correlated wind sources
Q Xiao, Z Tan, M Du - IET Generation, Transmission & …, 2024 - Wiley Online Library
This paper sets out to develop an efficient probabilistic optimal power flow (POPF) algorithm
to assess the influence of wind power on power grid. Given a set of wind data at multiple …
to assess the influence of wind power on power grid. Given a set of wind data at multiple …
An Investigation of Optimized Carbon Tax-subsidy Mechanism to Enhance Power System Sustainability Considering Wind Power Penetration
In addressing current sustainability challenges, it is crucial to reduce CO2 emissions from
power systems. An economic approach is to devise a solution for increasing the penetration …
power systems. An economic approach is to devise a solution for increasing the penetration …
Enhancing the accuracy of global horizontal irradiance estimation model using convolutional neural network coupled with wavelet transform
R Gupta, SK Jha, P Jha, K Chaprana… - The European Physical …, 2024 - epjplus.epj.org
One of the most important tasks for managing and producing solar energy as a fossil fuel
substitute is the accurate estimation of global horizontal irradiance (GHI). To improve the …
substitute is the accurate estimation of global horizontal irradiance (GHI). To improve the …
Comparative Analysis Between Bi-LSTM and Uni-LSTM Algorithms for Wind Speed Estimation
The integration of sustainable energy sources into the conventional power grid depends on
accurate wind speed estimates since it affects grid operations, stability, and overall planning …
accurate wind speed estimates since it affects grid operations, stability, and overall planning …
An Efficient and Interpretable Stacked Model for Wind Speed Estimation Based on Ensemble Learning Algorithms
Wind energy has gained tremendous attention recently due to its abundance potential and
to obviate the adverse impacts of fossil fuel consumption. However, the efficient …
to obviate the adverse impacts of fossil fuel consumption. However, the efficient …