Journal ArticleDOI
Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting
TLDR
In this article , a new variant of the marine predator algorithm (MPA), called MPAmu, using additional mutation operators to augment the MPA to prevent its premature convergence on local optima.About:
This article is published in Applied Energy.The article was published on 2022-05-01. It has received 56 citations till now. The article focuses on the topics: Adaptive neuro fuzzy inference system & Wind power.read more
Citations
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Journal ArticleDOI
Load Forecasting Techniques for Power System: Research Challenges and Survey
TL;DR: The comparison between the performance of the models in terms of Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE) values validates the fact that the hybrid forecasting models will provide a more optimal solution.
Journal ArticleDOI
Multivariate time-series blood donation/demand forecasting for resilient supply chain management during COVID-19 pandemic
TL;DR: In this article , a multivariate time-series deep learning model based on long short-term memory (LSTM) was proposed to forecast the blood donation/demand for the next week.
Journal ArticleDOI
Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models
Nemesio Fava Sopelsa Neto,Stéfano Frizzo Stefenon,Luiz Henrique Meyer,Raúl García Ovejero,Valderi Reis Quietinho Leithardt +4 more
TL;DR: In this article , the authors used the wavelet transform to evaluate the influence of contamination in relation to leakage current and its progression to a disruptive discharge, and the results showed that using the transform leads to an improvement in all the used models, especially the adaptive neuro-fuzzy inference system (ANFIS).
Journal ArticleDOI
A Normal Distributed Dwarf Mongoose Optimization Algorithm for Global Optimization and Data Clustering Applications
TL;DR: A novel strategy that uses intelligent optimization algorithms to tackle a group of issues requiring sophisticated methods to solve, and performs very well in data clustering applications showing promising performance.
Journal ArticleDOI
A New Stock Price Forecasting Method Using Active Deep Learning Approach
TL;DR: The results show that LSTM-based models improved using the new approach to predict the adjusted closing price of a specific corporation, even though all models showed a comparative result wherein no model showed better results or continuously outperformed other models.
References
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Journal ArticleDOI
ANFIS: adaptive-network-based fuzzy inference system
TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.
Journal ArticleDOI
Slime mould algorithm: A new method for stochastic optimization
Shimin Li,Huiling Chen,Mingjing Wang,Ali Asghar Heidari,Ali Asghar Heidari,Seyedali Mirjalili +5 more
TL;DR: The proposed slime mould algorithm has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity.
Journal ArticleDOI
The Arithmetic Optimization Algorithm
Laith Abualigah,Ali Diabat,Ali Diabat,Seyedali Mirjalili,Mohamed Abd Elaziz,Mohamed Abd Elaziz,Amir H. Gandomi +6 more
TL;DR: Experimental results show that the AOA provides very promising results in solving challenging optimization problems compared with eleven other well-known optimization algorithms.
Journal ArticleDOI
Aquila Optimizer: A novel meta-heuristic optimization algorithm
Laith Abualigah,Dalia Yousri,Mohamed Abd Elaziz,Ahmed A. Ewees,Mohammed A. A. Al-qaness,Amir H. Gandomi +5 more
TL;DR: From the experimental results of AO that compared with well-known meta-heuristic methods, the superiority of the developed AO algorithm is observed.
Journal ArticleDOI
Marine Predators Algorithm: A nature-inspired metaheuristic
TL;DR: The statistical post hoc analysis revealed that MPA can be nominated as a high-performance optimizer and is a significantly superior algorithm than GA, PSO, GSA, CS, SSA and CMA-ES while its performance is statistically similar to SHADE and LSHADE-cnEpSin.
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