This paper deal about the prediction of SunModule SW 175 monocrystalline photovoltaic (PV) module power output installed in Belbis, Egypt. The proposes prediction model forecast …
V Gundu, SP Simon - Neural processing letters, 2021 - Springer
Solar energy is one of the world's clean and renewable source of energy and it is an alternative power with the ability to serve a greater proportion of rising demand needs. The …
W Zhao, H Huang - Expert Systems with Applications, 2024 - Elsevier
Nesterov accelerated gradient (NAG) method is an efficient first-order algorithm for optimization problems. To ensure the convergence, it usually takes a relatively conservative …
Accurate wind speed forecasting is a fundamental requirement for advanced and economically viable large-scale wind power integration. The hybridization of the quaternion …
LS Saoud, R Ghorbani - IEEE Transactions on Neural …, 2019 - ieeexplore.ieee.org
In this paper, a metacognitive octonion-valued neural network (Mc-OVNN) learning algorithm and its application to diverse time series prediction are presented. The Mc-OVNN …
For optimization algorithms of fully complex-valued neural networks, complex-valued stepsize is helpful to make the training escape from saddle points. In this paper, an adaptive …
F Grasso, A Luchetta, S Manetti - Neural Processing Letters, 2018 - Springer
In this paper, a new efficient model of neural network is proposed, which is realized by the combination of two recent and successful neurocomputing paradigms. The idea behind the …
B Yang, W Bao - IEEE Access, 2019 - ieeexplore.ieee.org
Time series identification is one of the key approaches to dealing with time series data and discovering the change rules. Therefore, time series forecasting can be treated as one of the …
W Zhang - Expert Systems, 2023 - Wiley Online Library
At present, mainstream research on complex network evolution involves measuring the developing characteristics of network structure at the macro level. Few studies have focused …