Intelligent Neural Network with Parallel Salp Swarm Algorithm for Power Load Prediction
نویسندگان
چکیده
<p>The neural network runs slowly and lacks accuracy in power load forecasting, so it is optimized using meta-heuristic algorithm. Salp Swarm Algorithm (SSA) a novel algorithm that simulates the salp foraging process. In this paper, parallel swarm (PSSA) proposed to improve performance of SSA. It not only improves local development capabilities, but also accelerates global exploration. Through 23 test functions, PSSA performs better than other algorithms can effectively explore whole search space. Finally, used optimize weights as well thresholds network. Using predict certain region, results show increase its prediction accuracy.</p> <p>&nbsp;</p>
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ژورنال
عنوان ژورنال: Journal of Internet Technology
سال: 2022
ISSN: ['1607-9264', '2079-4029']
DOI: https://doi.org/10.53106/160792642022072304001