Chaotic time series forecasting approaches using machine learning techniques: A review

B Ramadevi, K Bingi - Symmetry, 2022 - mdpi.com
Traditional statistical, physical, and correlation models for chaotic time series prediction
have problems, such as low forecasting accuracy, computational time, and difficulty …

Dual function ferroresonance and fault current limiter based on DC reactor

H Radmanesh, A Heidary, SH Fathi… - IET Generation …, 2016 - Wiley Online Library
This study presents a novel DC reactor‐based ferroresonance and fault current limiter
(DRFFCL) for stabilising ferroresonance oscillations of potential transformer (PT) in 33 kV …

Simultaneous remote monitoring of transformers' ambient parameters by using IoT

M Hasır, S Cekli, CP Uzunoğlu - Internet of Things, 2021 - Elsevier
Transformers have an important role in the uninterrupted and reliable flow of electrical
power in power systems. For this reason, it is necessary to monitor and control the proper …

Modeling and suppression of chaotic ferroresonance in a power system by using memristor-based system

CP Uzunoglu, Y Babacan, F Kacar… - … Power Components and …, 2016 - Taylor & Francis
Power systems contain capacitances and inductances that can initiate chaotic
ferroresonance due to the non-linear operating characteristics of ferromagnetic materials …

The coexisting behaviors on the boundary of a Duffing-like oscillator with signum nonlinearity and its FPGA-based implementation

F Min, J Chen - International Journal of Bifurcation and Chaos, 2020 - World Scientific
In this paper, the nonlinear behaviors of a Duffing-like system with signum function are
investigated through the theory of discontinuous dynamical systems. The necessary and …

Chaotic fruit fly optimization algorithm

X Lei, M Du, J Xu, Y Tan - … : 5th International Conference, ICSI 2014, Hefei …, 2014 - Springer
Fruit fly optimization algorithm (FOA) was a novel swarm intelligent algorithm inspired by the
food finding behavior of fruit flies. Due to the deficiency of trapping into the local optimum of …

Application of echo state network for harmonic detection in distribution networks

A Deihimi, A Rahmani - IET Generation, Transmission & …, 2017 - Wiley Online Library
Harmonic pollution is not a new concept but that is an important phenomenon on power
systems and one of the major power quality meaning in electrical power. The high usage of …

任意波形失真度的一种评价方法

孙璟宇, 王中宇, 梁志国 - 北京航空航天大学学报, 2015 - bhxb.buaa.edu.cn
鉴于失真度指标在评价波形总体质量方面具有的独特优势并获得广泛认可, 在对任意波形失真度
定义分析的基础上, 提出一种使用波形非线性拟合方式进行任意波形失真度的评价方法 …

Signal quality based power output prediction of a real distribution transformer station using M5P model tree

A Akgündoğdu, I Öz, CP Uzunoğlu - Electric Power Systems Research, 2019 - Elsevier
Forecasting the output power of transformer stations is a prominent analysis of power
systems, which is key aspect of load balancing. Moreover, power forecasting may lead to …

Continuous wavelet transform for ferroresonance detection in power systems

T Şengüler, S Şeker - Electrical Engineering, 2017 - Springer
Wavelet transforms, such as Continuous Wavelet Transform (CWT) create numerous signals
based on scale coefficients after decomposition. This entire signal set and their subsets with …