Results 131 to 140 of about 21,764 (264)
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif +5 more
wiley +1 more source
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem +3 more
wiley +1 more source
Integrated Solar and Wind Energy Systems for Domestic Power Generation and CO2 Emissions Reduction
A well‐structured and sequentially methodical procedure for evaluating the Wind and Photovoltaic Hybrid Energy System‐based technical, environmental, and economic viability. This study investigates the integration of solar photovoltaic(PV) and wind energy systems for domestic electricity generation in the Gaza Strip.
Mohamed Elnaggar +9 more
wiley +1 more source
A hybrid PV–wind grid‐connected microgrid for Mongla Port is optimized using HOMER Pro and validated via DIgSILENT quasi‐dynamic load flow. The system achieves a low cost of energy (0.0341 USD/kWh), 70.9% renewable penetration, improved voltage stability, and significant emission reduction, demonstrating a reliable and cost‐effective solution for ...
Md. Behesty Hasan Sagor +6 more
wiley +1 more source
This study synthesizes urban hybrid energy system deployments in Southern Africa, revealing dominant PV–battery configurations, strong cost and emissions benefits, and persistent research concentration in South Africa, highlighting opportunities to scale resilient, low‐carbon urban energy solutions across the region.
Kehinde A. Adeyeye, Charles Mbohwa
wiley +1 more source
Stochastic Grey Wolf Optimization for Hyperparameter Tuning of LSTM and RNN Models in Energy Forecasting. [PDF]
Albser OA +4 more
europepmc +1 more source
This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat +2 more
wiley +1 more source
A Dual-Channel Enhanced Mamba Model for Fault Detection in Grid-Connected Photovoltaic Systems. [PDF]
Zhu Y, Yang Q.
europepmc +1 more source
Analysis and Classification of Partial Shading Conditions in Photovoltaic Arrays
This study presents new mathematical models for describing P–V curve extrema under different shading scenarios and applies machine learning classifiers that use features derived from P–V characteristics for accurate fault identification. ABSTRACT With the escalating global transition toward renewable energy, ensuring the operational stability and ...
Hamid Reza Parsa, Mohammad Sarvi
wiley +1 more source
Advanced Development of Diverse Photovoltaic-Driven Water Electrolysis for Hydrogen Production: A Review on Coupling Mechanisms, Technological Evolution and Economic Analysis. [PDF]
Yu Y +5 more
europepmc +1 more source

