Results 61 to 70 of about 280 (148)

Genetic Engineering Algorithm (GEA): An Efficient Metaheuristic Algorithm for Solving Combinatorial Optimization Problems

, 2023
Genetic Algorithms (GAs) are known for their efficiency in solving combinatorial optimization problems, thanks to their ability to explore diverse solution spaces, handle various representations, exploit parallelism, preserve good solutions, adapt to ...
Fathollahi-Fard, Amir M., Gromov, Vasilii A., Sohrabi, Majid   +2 more
core  

Integrating renewable energy and V2G uncertainty into optimal power flow: A gradient bald eagle search optimization algorithm with local escaping operator

IET Renewable Power Generation, Volume 18, Issue 16, Page 4119-4152, 7 December 2024.
This paper proposes a new approach for solving the optimal power flow (OPF) problem in transmission networks using a Gradient Bald Eagle Search Algorithm (GBES) with a Local Escaping Operator (LEO). The method considers uncertainty from renewable energy sources and Vehicle‐to‐Grid (V2G) in the stochastic OPF problem.
Mohamed H. Hassan, Salah Kamel, José Luis Domínguez‐García, Reagan Jean Jacques Molu   +3 more
wiley   +1 more source

Research on Parameter Inversion and Settlement Prediction for Metro Shield Tunneling beneath Existing Building Clusters

Chengshi guidao jiaotong yanjiu
ObjectiveTo address the challenge of determining key stratum parameters during shield tunneling beneath existing building clusters, a Beluga Whale Optimization-FLAC3D (BWO-FLAC3D) method is proposed,which utilizes settlement monitoring data to enable the
Junyuan LIAO, Shunlei ZHAO, Wu XU, Dengfeng ZHOU, Weizhe SUN   +4 more
doaj   +1 more source

Efficient design of a hybrid power system incorporating resource variability [PDF]

The optimal design of small-scale energy systems is a critical step in rural electrification projects, offering valuable insights for integrating renewable energy sources on a broader scale. This paper analyzes the sizing of isolated energy systems using
Artal-Sevil, Jesús Sergio, Dufo-López, Rodolfo, García-Paricio, Eduardo, Lujano-Rojas, Juan M.   +3 more
core   +1 more source

MAOOA‐Residual‐Attention‐BiConvLSTM: An Automated Deep Learning Framework for Global TEC Map Prediction

Space Weather, Volume 22, Issue 7, July 2024.
Abstract The high‐precision prediction of total ionospheric electron content (TEC) is of great significance for improving the accuracy of global navigation satellite systems. There are two problems with the current prediction of TEC: (a) The existing TEC prediction models mainly based on stacked structure, which has insufficient predictive ability when
Haoran Wang, Haijun Liu, Jing Yuan, Huijun Le, Weifeng Shan, Liangchao Li   +5 more
wiley   +1 more source

The crucial role of artificial intelligence in addressing climate change [PDF]

Addressing climate change is one of the fundamental priorities at a global level, given its significant impact on both the environment and society. This systematic literature review explores the role of artificial intelligence (AI) in addressing climate ...
Andrade-Arenas, Laberiano, Hernández Celis, Domingo, Yactayo-Arias, Cesar   +2 more
core   +2 more sources

Research on multiobjective capacity configuration optimization of grid‐connected wind–solar–storage microgrid system based on improved BWO algorithm

Energy Science &Engineering, Volume 12, Issue 6, Page 2365-2384, June 2024.
The proposed wind–solar–storage microgrid system model contains algorithmic solvers and energy management strategies. The multiobjective optimization method calculates the capacity scaling of the PV, wind turbine, and battery storage system for load demands.
Ziheng Wang, Tao Wang, Qunfeng Niu, Jianfeng Wu, Mingwei Li, Shuaiqi Zhu   +5 more
wiley   +1 more source

CAVOA: A chaotic optimization algorithm for optimal power flow with facts devices and stochastic wind power generation

IET Generation, Transmission &Distribution, Volume 18, Issue 1, Page 121-144, January 2024.
The study proposes a technique called Chaotic AVOA Optimization Algorithm (CAVOA), which is based on the AVOA algorithm, to address the optimal power flow (OPF) issue. Abstract The study proposes a modified version of African Vultures Optimization Algorithm (AVOA) to address the optimal power flow (OPF) issue.
Amal Amin Mohamed, Salah Kamel, Mohamed H. Hassan, Hamed Zeinoddini‐Meymand   +3 more
wiley   +1 more source

Enhanced Cyberthreat Detection and Classification with CMCOADL-TDC Using Deep Learning and Optimization Techniques [PDF]

Cyberthreat detection and classification are crucial fields aiming to develop intelligent systems capable of real-time identification and categorization of various cyberthreats such as malware, phishing, social engineering, and ransomware.
Sakthivelu, U., Vinoth Kumar, C. N. S.
core   +2 more sources

Operation Scheduling of Distribution Network with Photovoltaic/Wind/Battery Multi‐Microgrids and Reconfiguration considering Reliability and Self‐Healing

International Journal of Energy Research, Volume 2024, Issue 1, 2024.
In this paper, a new simultaneous framework of distribution network operation is proposed based on the scheduling of photovoltaic/wind/battery multi‐microgrids with network reconfiguration considering self‐healing. The objective function is considered to minimize the energy losses, and multi‐microgrids cost and improve the reliability indices including
Alireza Kalantari, Hamid Lesani, Subhashree Choudhury   +2 more
wiley   +1 more source