Results 21 to 30 of about 4,016,580 (147)

Enhancing Reactive Power Compensation in Distribution Systems through Optimal Integration of D-STATCOM using the Pelican Optimization Algorithm [PDF]

International Journal of Electrical Engineering and Applied Sciences
This paper presents a study that introduces the Pelican Optimization Algorithm (POA) as an innovative approach for the strategic deployment of Distribution Static Synchronous Compensators (D-STATCOM) in distribution systems.
A. F. S. Yussif, T. Seini, B. Ayasu, E. A. Nyantakyi   +3 more
doaj   +2 more sources

Early fault diagnosis of transformer winding based on ReliefF-mRMR leakage magnetic field feature optimization and improved LSSVM

Diance yu yibiao
Aiming at the problem of complex transformer structure and small amount of early winding fault sample data, in order to improve the accuracy of transformer winding fault type diagnosis, this paper proposes an early fault diagnosis model of transformer ...
LIU Jianfeng, DONG Qianwen, TIAN Shuxin, LIU Mengqi, MEI Zhicong, ZHOU Hai   +5 more
doaj   +2 more sources

Optimized multi agent reinforcement learning algorithms with hybrid BiLSTM for cost efficient EV charging scheduling [PDF]

Frontiers in Artificial Intelligence
With the fast development of electric vehicles, the demand for intelligent charging management strategies in order to minimize operational costs, ensure grid stability, and enhance user satisfaction.
Urvashi Khekare, Rajay Vedaraj I. S.
doaj   +2 more sources

Pelican Optimization Algorithm Combining Unscented sigma Point Mutation and Cross Reversion [PDF]

Jisuanji kexue yu tansuo
Aiming at the problems of slow searching speed, low accuracy and easy to fall into local optimization in the optimization process of pelican optimization algorithm (POA), a pelican optimization algorithm combining unscented sigma point mutation and cross
ZUO Fengqin, ZHANG Damin, HE Qing, BAN Yunfei, SHEN Qianwen
doaj   +3 more sources

Scour depth estimation using standalone metaheuristic algorithms and their combinations with CatBoost [PDF]

Scientific Reports
Scouring around bridge piers poses a critical threat to structural integrity, leading to costly damage and safety risks. Traditional equations often fail to accurately predict equilibrium scour depth (S eq ) due to the complexity and nonlinearity of the ...
Nasrin Eini, Saeid Janizadeh, Sayed M. Bateni, Changhyun Jun, Essam Heggy   +4 more
doaj   +2 more sources

Vessel Traffic Flow Prediction in Port Waterways Based on POA-CNN-BiGRU Model

Journal of Marine Science and Engineering
Vessel traffic flow forecasting in port waterways is critical to improving safety and efficiency of port navigation. Aiming at the stage characteristics of vessel traffic in port waterways in time sequence, which leads to complexity of data in the ...
Yumiao Chang, Jianwen Ma, Long Sun, Zeqiu Ma, Yue Zhou   +4 more
doaj   +2 more sources

Automated climate prediction using pelican optimization based hybrid deep belief network for Smart Agriculture

Measurement: Sensors, 2023
A significant part of the economies of several nations throughout the world, including India, where agriculture accounts for 16% of the total economy.
A. Punitha, V. Geetha
doaj   +2 more sources

Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks [PDF]

Scientific Reports
To facilitate rapid and precise predictions of pile bearing capacity, a Back Propagation (BP) neural network model has been developed utilizing data sourced from existing literature. The model incorporates several input parameters, including pile length,
Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao   +5 more
doaj   +2 more sources

Short-Term Load Forecasting Based on Pelican Optimization Algorithm and Dropout Long Short-Term Memories–Fully Convolutional Neural Network Optimization

Energies
In order to improve the prediction accuracy of short-term power loads in a power system, this paper proposes a short-term load prediction method (POA-DLSTMs-FCN) based on a combination of multi-layer lost long short-term memory (DLSTM) neural networks ...
Haonan Wang, Shan Huang, Yue Yin, Tingyun Gu   +3 more
doaj   +2 more sources

Optimization of Dye and Plasticizer Concentrations in Halochromic Sensor Films for Rapid pH Response Using Bird-Inspired Metaheuristic Algorithms [PDF]

Sensors
The pH level of a wound environment is a crucial biomarker for monitoring wound healing, particularly in chronic wounds, where alkalinity (pH > 7) is linked to bacterial colonization and infection.
Daeuk Kim, Ronnie S. Concepcion, Joseph Rey H. Sta. Agueda, Jubert C. Marquez   +3 more
doaj   +2 more sources