Proper management of solar energy as an effective renewable source is high importance toward sustainable harvesting. This paper offers a novel sophisticated method for predicting irradiance (SIr) from environmental conditions. To this end, efficient metaheuristic technique, namely electromagnetic field optimization (EFO), employed optimizing neural network. algorithm quickly mines publicly avai...

Reliable fault diagnosis of the rolling element bearings highly relies on correct extraction fault-related features from vibration signals in time-frequency analysis. However, considering nonlinear, nonstationary characteristics signals, hidden heavy noise has become a challenging task. Variable mode decomposition (VMD) is an adaptive, completely nonrecursive method variation and signal process...

As energy systems become increasingly complex, there is a growing need for sustainable and efficient management strategies that reduce greenhouse gas emissions. In this paper, multi-energy (MES) have emerged as promising solution integrates various sources enables sharing between different sectors. The proposed model based on using an Attractive Repulsive Shuffled Frog-Leaping (ARSFL) algorithm...

Automatic text summarization is a topic of great interest in many fields knowledge. Particularly, query-oriented extractive multi-document methods have increased their importance recently, since they can automatically generate summary according to query given by the user. One way address this problem multi-objective optimization approaches. In paper, memetic algorithm, specifically Multi-Object...