A novel hybrid model for solar radiation forecasting using support vector machine and bee colony optimization algorithm: review and case study
This article proposes a new hybrid least squares-support vector machine and artificial bee
colony algorithm (ABC-LS-SVM) for multi-hour ahead forecasting of global solar radiation …
colony algorithm (ABC-LS-SVM) for multi-hour ahead forecasting of global solar radiation …
Review of application of AI techniques to Solar Tower Systems
Artificial Intelligence (AI) is increasingly playing a significant role in the design and
optimization of renewable energy systems. Many AI approaches and technologies are …
optimization of renewable energy systems. Many AI approaches and technologies are …
GA-GOA hybrid algorithm and comparative study of different metaheuristic population-based algorithms for solar tower heliostat field design
A comparative analysis has been carried out between eight metaheuristic algorithms,
namely; genetic algorithm (GA), differential evolution (DE), particle swarm optimization …
namely; genetic algorithm (GA), differential evolution (DE), particle swarm optimization …
Heliostat field optimization and comparisons between biomimetic spiral and radial-staggered layouts for different heliostat shapes
During the design and characterization of Solar Power Tower (SPT) systems, the selection
and optimization of the heliostat field distribution are critical. Additionally, selecting the …
and optimization of the heliostat field distribution are critical. Additionally, selecting the …
Optimization of biomimetic heliostat field using heuristic optimization algorithms
AA Rizvi, D Yang, TA Khan - Knowledge-Based Systems, 2022 - Elsevier
Central receiver systems are one of the most promising solar energy harvesting
technologies. They consist of a large field of sun-tracking mirrors known as heliostats that …
technologies. They consist of a large field of sun-tracking mirrors known as heliostats that …
Enhancing direct Normal solar Irradiation forecasting for heliostat field applications through a novel hybrid model
This study addresses the critical need for precise Direct Normal Irradiation forecasting in
concentrating solar power systems to enhance performance and manage power generation …
concentrating solar power systems to enhance performance and manage power generation …
Design optimization of a solar tower power plant heliostat field by considering different heliostat shapes
The present study focuses on the optimization of solar tower power plant heliostat field by
considering different heliostat shapes including rectangular, square, pentagon, hexagon …
considering different heliostat shapes including rectangular, square, pentagon, hexagon …
Numerical simulation and design of multi-tower concentrated solar power fields
In power tower systems, the heliostat field is one of the essential subsystems in the plant due
to its significant contribution to the plant's overall power losses and total plant investment …
to its significant contribution to the plant's overall power losses and total plant investment …
A dual-axis solar tracking system with minimized tracking error through optimization technique
PN Praveen, D Menaka - Multimedia Tools and Applications, 2024 - Springer
Monitoring the energy generated by a solar system based on various weather conditions
requires an accurate forecast algorithm. In this research, a new deep learning method called …
requires an accurate forecast algorithm. In this research, a new deep learning method called …
Solar power tower drives: a comprehensive survey
Recently, renewable energy is considered a vital source for electricity generation that aims
to reduce the carbon dioxide emissions acquired from fossil fuels. Concentrated solar power …
to reduce the carbon dioxide emissions acquired from fossil fuels. Concentrated solar power …