Stacked LSTM sequence-to-sequence autoencoder with feature selection for daily solar radiation prediction: A review and new modeling results
We review the latest modeling techniques and propose new hybrid SAELSTM framework
based on Deep Learning (DL) to construct prediction intervals for daily Global Solar …
based on Deep Learning (DL) to construct prediction intervals for daily Global Solar …
Advances in manta ray foraging optimization: A comprehensive survey
This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
[HTML][HTML] An automated metaheuristic-optimized approach for diagnosing and classifying brain tumors based on a convolutional neural network
Brain tumors must be classified to determine their severity and appropriate therapy. Applying
Artificial Intelligence to medical imaging has enabled remarkable developments. The …
Artificial Intelligence to medical imaging has enabled remarkable developments. The …
An enhanced manta ray foraging optimization algorithm for shape optimization of complex CCG-Ball curves
G Hu, M Li, X Wang, G Wei, CT Chang - Knowledge-Based Systems, 2022 - Elsevier
The shape optimization of complex curves is a crucial and intractable technique in computer
aided geometric design and widely used in many product design and manufacturing fields …
aided geometric design and widely used in many product design and manufacturing fields …
Dynamic analysis of a CCHP system based on fuel cells integrated with methanol-reforming and dehumidification for data centers
For data centers with strict requirements on temperature and humidity, this study proposes a
combined cooling, heating and power (CCHP) system integrated with methanol-reforming …
combined cooling, heating and power (CCHP) system integrated with methanol-reforming …
Standard and Quasi Oppositional bonobo optimizers for parameter extraction of PEM fuel cell stacks
The accuracy of the mathematical model used to simulate the electrochemical
characteristics of fuel cell (FC) stacks has a significant impact on the quality of the …
characteristics of fuel cell (FC) stacks has a significant impact on the quality of the …
[HTML][HTML] Review of bio-inspired optimization applications in renewable-powered smart grids: Emerging population-based metaheuristics
The management of renewable-powered smart grids deals with nonlinear optimization
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …
[HTML][HTML] Exergy analysis of a fuel cell power system and optimizing it with Fractional-order Coyote Optimization Algorithm
L Sun, XF Han, YP Xu, N Razmjooy - Energy Reports, 2021 - Elsevier
This study presents an exergy assessment methodology for a power production system
defined by a high-temperature proton exchange membrane fuel cell. The evaluated structure …
defined by a high-temperature proton exchange membrane fuel cell. The evaluated structure …
Optimal economic power and heat dispatch in Cogeneration Systems including wind power
Abstract Economic Dispatch in Cogeneration Systems (EDCS) provides the optimal
scheduling of heat and power of generation units. This can be achieved by minimizing the …
scheduling of heat and power of generation units. This can be achieved by minimizing the …
Hierarchical manta ray foraging optimization with weighted fitness-distance balance selection
Z Tang, K Wang, S Tao, Y Todo, RL Wang… - International Journal of …, 2023 - Springer
Manta ray foraging optimization (MRFO) tends to get trapped in local optima as it relies on
the direction provided by the previous individual and the best individual as guidance to …
the direction provided by the previous individual and the best individual as guidance to …