Therefore, the ANFIS model is selected for both networks based on the values ​​of MAPE and \R 2\, as indicated. Scatter plots of actual and estimated gain parameter, K, and time constant parameter, \T 1\, of PSS for training and testing datasets of the first network are shown in Fig. and b, respectively , while the same Thermal response of a lithium-ion battery module has been experimentally evaluated under various conditions, such as room temperature, 10, 15, C and current rate of C 2, 1C C to acquire the data sets needed to model development and validation. A Sugeno-type ANFIS model was developed using the obtained data. This paper proposed an estimator-based adaptive near-optimal output feedback control algorithm for maximum power point tracking control of wind energy conversion system. First, the neuro-fuzzy adaptive estimation system, ANFIS, is designed to estimate wind speed instead of direct measurement. The parameters of A tabu search based algorithm for optimal placement of capacitors in a radial distribution system is proposed in case 10, the adopted objective function is similar to case 5. InLLS is proposed and incorporated into the monkey optimization SMO algorithm spider to address the problem of optimal placement and sizing of capacitors and is applied to solve the problem of optimal placement and sizing of capacitors in IEEE-14, 30 test bus systems. The power system is a complex interconnected network that can be , Here are ten examples of computer science essay topics to get you started: The impact of artificial intelligence on society: advantages and disadvantages. Cyber ​​security measures in cloud computing systems. The ethics of big data: Privacy, bias and transparency. The future of quantum computing: possibilities and challenges. Semantic Scholar extracted the vision of optimal placement of capacitors in radial distribution system using a Fuzzy-GA method by D. Das. Semantic scholar logo. 749, from all fields of science. Research. Sign in Create a free account. DOI: 10.1016 J.IJEPES.2007. International journal of computer science. One of the effective ways to reduce power system losses is to locally compensate some of the reactive power consumption by using shunt capacitor banks. Since the impedance of the capacitor depends on the frequency and it is possible to generate resonances at harmonic frequencies, it is important to provide an efficient MPPT controller. This paper presents the design and modeling of the adaptive neuro-fuzzy inference system, ANFIS-based MPPT controller. The project consists of a photovoltaic module, ANFIS reference model, DC-DC boost.