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Year: 2018, Volume: 18, Number: 2
... Composite loads in the SCSS. stand-alone inverter-based microgrids – modeling procedure and Four performance indices (i.e. voltage ... of the storage system. SCs alone are composite load model for stand-alone MGs. used to mitigate the diesel ... to which the SCSS is the stability, two exciter models for the synchronous added. The control strategy for ...
Year: 2014, Volume: 14, Number: 3
... . trust combination. The main purpose of TNA-SL is modeling transitive trust Transitive trust is the case where someone ... global minimum x. third group we should design a model to approximate the target function in the trust-region. ... the first group, Nelder- For better understanding, an example for this algorithm is Mead is the most ...
Year: 2010, Volume: 10, Issue: 2
... the axes. Index Terms — soft magnetic materials, modeling, magnetic Consequently it is enough to construct the ... @yahoo.com Abstract — The paper deals with an analytical model for hysteresis cycle representation. The hysteresis curve is ... . parameters H2 and B2. There are many physical models used for modelling the 3. the remanence induction ...
Year: 2019, Volume: 19, Number: 3
... 19, Number 3, 2019 A Novel Power Curve Modeling Framework for Wind Turbines Mehmet YESILBUDAK Nevsehir Haci Bektas ... 8]. algorithms. The best hybrid power curve model is achieved by A 4-parameter logistic function, whose ... were the grey wolf optimizer-based modified hyperbolic tangent function in terms of the goodness-of-fit indicators. Second solved by the ...
Year: 2020, Volume: 20, Number: 2
... new Pozna et al. have proposed a unique heuristic modeling values of the time series from past values using ... 20, Number 2, 2020 Deep Learning Based Prediction Model for the Next Purchase Anıl UTKU, Muhammet Ali ... prediction and 2010 and analyzed data using ARIMA and ARMA models. sensing of future consumer behavior can help business ...
Year: 2023, Volume: 23, Number: 2
... solved by EVs. They have considered risk management with modeling Self-Conclusion and Variational Particle Swarm risk-averse and profit-seeker strategies ... Combined Heat and Power Plant (CHPP), and model including wind turbines (WTs), conventional electrical ... (RES) such as wind turbines and photovoltaic management models to manage the risks of low profit panels are ...
Year: 2012, Volume: 12, Number: 2
... and Computer Engineering Volume 12, Number 2, 2012 Modeling Road Traffic Using Service Center Iulia-Maria HARAGOS, Cosmin ... is congestion. By creating traffic models and simulate A model is a simplistic representation of a system which them ... we can avoid this problem and find appropriate artificially reproduces and describes the original system, solutions. In this ...
Year: 2016, Volume: 16, Number: 3
... 16, Number 3, 2016 ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection Omer Galip SARACOGLU1, Aytekin ... a multi emitter LED to take the advantage of desired model performance, the parameters of the fuzzy multi spectral ... with the target analyte. models are optimized by using the artificial bee colony (ABC) In recent years ...
Year: 2013, Volume: 13, Number: 2
... . An efficient numerical method is proposed and the hysteresis modeling accuracy is tested on magnetic II. HYSTERESIS MODELING ... , Number 2, 2013 Efficient Use of Preisach Hysteresis Model in Computer Aided Design Valentin IONIŢĂ, Lucian PETRESCU ... . There are scalar hysteresis vibrating sample magnetometer). models included in 2D finite element (FEM) analysis ...
40. A Method Based on Lorenz Disturbance and Variational Mode Decomposition for Wind Speed Prediction
Year: 2019, Volume: 19, Number: 2
... same time, the A. Lorenz chaotic system nonlinear modeling approaches have been developed in recent years. Reference ... ) The physical VMD, obtains LD-VMD-Elman wind speed prediction model. method mainly predict the wind speed through weather ... pressure and temperature. smaller error. 2) The models which added Lorenz disturbance Numerical weather prediction (NWP ...
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