Optimization of Wind Direction Distribution Parameters Using Particle Swarm Optimization

Heckenbergerová, Jana; Musilek, Petr; Krömer, Pavel

doi:10.1007/978-3-319-13572-4_2

Cited by 16 publications

(15 citation statements)

References 28 publications

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“…These variants have been developed to improve the convergent properties of the algorithm or to solve other specific problems . Successful PSO applications can be found in a many diverse domains ranging from, eg, practical control of wireless sensor networks to the search of optimum parameters of mathematical models …”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

“…28,29 Successful PSO applications can be found in a many diverse domains ranging from, eg, practical control of wireless sensor networks 37 to the search of optimum parameters of mathematical models. 38 Combinatorial optimization problems that require well-structured discrete solutions, on the other hand, represent a challenge for algorithms with real-valued candidate solutions such as PSO. The position and velocity updates of particles are in PSO performed in each dimension independently, whereas the elements of permutations are not independent on each other.…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

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JPEG steganography with particle swarm optimization accelerated by AVX

Snášel

Krömer

Šafařík

et al. 2019

Concurrency and Computation

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Summary Digital steganography aims at hiding secret messages in digital data transmitted over insecure channels. The JPEG format is prevalent in digital communication, and images are often used as cover objects in digital steganography. Optimization methods can improve the properties of images with embedded secret but introduce additional computational complexity to their processing. AVX instructions available in modern CPUs are, in this work, used to accelerate data parallel operations that are part of image steganography with advanced optimizations.

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Section: Particle Swarm Optimizationmentioning

confidence: 99%

Section: Particle Swarm Optimizationmentioning

confidence: 99%

JPEG steganography with particle swarm optimization accelerated by AVX

Snášel

Krömer

Šafařík

et al. 2019

Concurrency and Computation

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show abstract

“…And, offshore directional wind distribution plays a valuable role in this trend. Using wind direction distributions information to analysis potential wind power of a specific site plays an important role when selecting the location of new wind energy facilities, and has impacts on both, price of generated energy and return of investment [3]. Some researches about how to use the multiple satellite data to assess offshore wind resources have been done [4].…”

Section: Research Backgroundmentioning

confidence: 99%

The Crucial Records Number to Retrieve Offshore Directional Wind Distribution

Zhu

Yang

2017

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. The wind energy production estimates are very important to a wind power project. And, the remote sensing technique has been widely used to obtain the offshore wind speed and direction which could be used to calculate the wind energy of potential wind farm. However, the directional wind energy distributions are rarely studied, which also play important roles in analysis of wind farms' potential power. In this article, the minimum number of records to obtain offshore directional wind distribution is stated by simulation experiment on In-situ dataset. The NDBC buoy dataset is randomly and multiply sampled to build new dataset under different numbers of observation records, which vary from 21 to 800. The resample under the same number of observation is repeated for 100 times to build dataset group. The directional wind distribution of new dataset is compared with the one of original buoy dataset, and errors made by dataset with fewer records are calculated. Besides, the 10th largest error in the sampled dataset group, which have the same number of observation records, is regarded as the error bound for those dataset. The change rule of the error bound is shown by fitted curves. Based on the fitted curves, minimum number of records is calculated. By this simulation experiment, the minimum number of records to represent wind direction frequency is 350, and 800 for annual direction distributions of wind energy density. To reduce the number of records needed in retrieval, some methods are discussed and tested.

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“…This work introduces a novel two-stage method that can be used to estimate location-specific wind energy efficiency coefficient. In the first phase, an accurate statistical model of annual wind direction distribution [9,10] is created and carefully optimized [23,24]. The differential evolution algorithm is in this work used for accurate optimization of model parameters.…”

Section: Introductionmentioning

confidence: 99%

Wind Energy Potential Assessment Based on Wind Direction Modelling and Machine Learning

Krömer¹,

Mišák²,

Stuchly³

et al. 2016

NNW

Self Cite

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Precise wind energy potential assessment is vital for wind energy generation and planning and development of new wind power plants. This work proposes and evaluates a novel two-stage method for location-specific wind energy potential assessment. It combines accurate statistical modelling of annual wind direction distribution in a given location with supervised machine learning of efficient estimators that can approximate energy efficiency coefficients from the parameters of optimized statistical wind direction models. The statistical models are optimized using differential evolution and energy efficiency is approximated by evolutionary fuzzy rules.

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Optimization of Wind Direction Distribution Parameters Using Particle Swarm Optimization

Cited by 16 publications

References 28 publications

JPEG steganography with particle swarm optimization accelerated by AVX

JPEG steganography with particle swarm optimization accelerated by AVX

The Crucial Records Number to Retrieve Offshore Directional Wind Distribution

Wind Energy Potential Assessment Based on Wind Direction Modelling and Machine Learning

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