Hierarchical power output prediction for floating photovoltaic systems

QR Code

Hierarchical power output prediction for floating photovoltaic systems

Accurate forecasting of power output in Floating Photovoltaic (FPV) systems is essential for optimizing renewable energy generation and improving energy management strategies. This study introduces a novel hierarchical prediction framework that enhances FPV power forecasting by systematically modeli...

Full description

Bibliographic Details
Main Authors:	Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Mohd Shawal, Jadin, Mohd Mawardi, Saari
Format:	Article
Language:	English
Published:	Elsevier 2025
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/44330/ http://umpir.ump.edu.my/id/eprint/44330/1/Hierarchical%20power%20output%20prediction%20for%20floating%20photovoltaic%20systems.pdf

Similar Items

Short-Term forecasting of floating photovoltaic power generation using machine learning models
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Optimization-driven extreme learning machine for floating photovoltaic power prediction: A teaching learning-based approach
by: Mohd Redzuan, Ahmad, et al.
Published: (2025)

Short-term forecasting of rooftop retrofitted photovoltaic power generation using machine learning
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Wind power generation prediction utilizing Kolmogorov-Arnold networks
by: Mohd Herwan, Sulaiman, et al.
Published: (2025)

A hybrid prediction model for short-term load forecasting in power systems
by: Zuriani, Mustaffa, et al.
Published: (2024)

An application barnacles mating optimizer for forecasting of full load electrical power output
by: Zuriani, Mustaffa, et al.
Published: (2020)

Wind power forecasting with metaheuristic-based feature selection and neural networks
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

A device for evaluating photovoltaic (PV) module output performance and degradation
by: Mohd Shawal, Jadin, et al.
Published: (2022)

Feasibility analysis of floating photovoltaic power plant in Bangladesh: A case study in Hatirjheel Lake, Dhaka
by: Islam, Md. Imamul, et al.
Published: (2023)

A simulation-metaheuristic approach for finding the optimal allocation of the battery energy storage system problem in distribution networks
by: Mohd Herwan, Sulaiman, et al.
Published: (2023)

Optimal power flow with renewable power generations using hyper-heuristic technique
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Optimal power flow with stochastic solar power using barnacles mating optimizer
by: Mohd Herwan, Sulaiman, et al.
Published: (2021)

Solving optimal power flow problem with stochastic wind–solar–small hydro power using barnacles mating optimizer
by: Mohd Herwan, Sulaiman, et al.
Published: (2021)

Assessing the early performance of bifacial floating PV system: A comparative study
by: Islam, Md. Imamul, et al.
Published: (2024)

Investigation of solar photovoltaic module power output by various models
by: Jakhrani, A.Q., et al.
Published: (2012)

Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers
by: Mohd Herwan, Sulaiman, et al.
Published: (2021)

Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Using the barnacles mating optimizer with effective constraints handling technique for cost minimization of optimal power flow solution
by: Mohd Herwan, Sulaiman, et al.
Published: (2021)

Feature optimization with metaheuristics for Artificial Neural Network-based chiller power prediction
by: Nor Farizan, Zakaria, et al.
Published: (2025)

An application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution
by: Mohd Herwan, Sulaiman, et al.
Published: (2021)

Improved barnacles mating optimizer for loss minimization problem in optimal reactive power dispatch
by: Mohd Herwan, Sulaiman, et al.
Published: (2023)

An application of deep learning for lightning prediction in East Coast Malaysia
by: Mohd Herwan, Sulaiman, et al.
Published: (2023)

Fusion colour model for photovoltaic (PV) segmentation
by: Azura@Nurul Shuhada, Daud, et al.
Published: (2024)

Development of Hybrid Thermoelectric and Photovoltaic Power Generation
by: M. S., Jadin, et al.
Published: (2015)

Forecasting solar power generation using evolutionary mating algorithm-deep neural networks
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Chiller energy prediction in commercial building : A metaheuristic-enhanced deep learning approach
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Enhancing wind power forecasting accuracy with hybrid deep learning and teaching-learning-based optimization
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

An application of teaching–learning-based optimization for solving the optimal power flow problem with stochastic wind and solar power generators
by: Mohd Herwan, Sulaiman, et al.
Published: (2023)

Stock price predictive analysis: An application of hybrid barnacles mating optimizer with artificial neural network
by: Zuriani, Mustaffa, et al.
Published: (2023)

Covid-19 confirmed cases prediction in china based on barnacles mating optimizer-least squares support vector machines
by: Zuriani, Mustaffa, et al.
Published: (2021)

An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation
by: Mohd Herwan, Sulaiman, et al.
Published: (2023)

Battery remaining useful life estimation based on particle swarm optimization-neural network
by: Zuriani, Mustaffa, et al.
Published: (2024)

State of charge estimation for electric vehicles using random forest
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions
by: Hamdan, Daniyal, et al.
Published: (2018)

Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch
by: Rebecca Ng, Shin Mei, et al.
Published: (2016)

Binary search algorithm as maximum power tracking technique for photovoltaic system under partial shaded conditions
by: Meng Chung, Tiong, et al.
Published: (2018)

Barnacles mating optimizer: A new bio-inspired algorithm for solving engineering optimization problems
by: Mohd Herwan, Sulaiman, et al.
Published: (2020)

Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms
by: Mohd Herwan, Sulaiman, et al.
Published: (2025)

Tracing generators' output in transmission open access
by: Sulaiman, Mohd. Herwan, et al.
Published: (2007)

Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer
by: Mohd Herwan, Sulaiman, et al.
Published: (2025)