Results 171 to 180 of about 6,128,191 (241)

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

open access: yesEnergy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani   +4 more
wiley   +1 more source

Improved Power Tracking and Performance Evaluation Using a Tri‐Meta Hybrid DOA–CSA–WOA‐Based MPPT Controller for Standalone PV System

open access: yesEnergy Science &Engineering, EarlyView.
A Tri‐Meta Hybrid DOA–CSA–WOA Maximum Power Point Tracking controller is developed to enhance photovoltaic system performance. The proposed approach achieves higher tracking efficiency, faster convergence, and robust operation under dynamic irradiance and partial shading conditions.
Ali Abbas   +6 more
wiley   +1 more source

A Geographic Information System (GIS)–CRiteria Importance Through Intercriteria Correlation (CRITIC) Framework for Selecting Solar Photovoltaics Sites: A Case Study

open access: yesEnergy Science &Engineering, EarlyView.
A novel framework integrating environmental constraints, topography, infrastructure accessibility, and solar irradiation was developed to identify optimal utility‐scale solar photovoltaics (PV) sites in Lithuania. Western and central Lithuania showed the highest suitability for future solar PV expansion.
Mahyar Kamali Saraji   +3 more
wiley   +1 more source

High Precision Prediction Model of Wind Speed for Underground Mine Tunnel by Using ASTF Net

open access: yesEnergy Science &Engineering, EarlyView.
This paper proposes an Adaptive Spectral‐Temporal Fusion Net (ASTF‐Net), which features a novel decomposition‐ensemble framework with adaptive feature fusion. This design deliberately balances spectral and temporal features and effectively boosts prediction accuracy in complex ventilation environments. ABSTRACT An Adaptive Spectral‐Temporal Fusion Net (
Ruo‐Qi Li   +4 more
wiley   +1 more source

Battery Degradation Reduction in Flywheel–Battery Hybrid Energy Storage Using SSA‐Optimized Fuzzy‐PI Control

open access: yesEnergy Science &Engineering, EarlyView.
SSA‐optimized fuzzy‐PI control reduces battery stress in flywheel–battery hybrid energy storage systems by shifting transient power fluctuations to the flywheel. The strategy decreases ampere‐hour throughput by 46.1% and rainflow damage by 71% while maintaining stable DC‐bus regulation.
ZiFen Han   +5 more
wiley   +1 more source

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