Results 71 to 80 of about 6,414 (217)

Alternative method for economic dispatch utilizing grey wolf optimizer [PDF]

, 2015
Power system is one of the largest and most complex engineering systems created by human. The systems are created in order to ensure the longevity and sustainability of the energy for civilization development.
Wong, Lo Ing
core  

Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters

Energy Science &Engineering, Volume 14, Issue 3, Page 1353-1371, March 2026.
Drilling detection test platform. ABSTRACT During roadway excavation, the presence of weak interlayers and fractured rock masses significantly affects roof stability. To achieve timely and effective roadway support, it is crucial to identify and predict different rock types based on drilling signals from roof bolters.
Qiang Zhu, Sheng Biao Wang, Da Jiang Wen, Chong‐Yu Song, Kang Zhou   +4 more
wiley   +1 more source

Review on Swarm Intelligence Optimization Techniques for Obstacle-Avoidance Localization in Wireless Sensor Networks [PDF]

, 2018
Wireless sensor network (WSN) is an evolving research topic with potential applications. In WSN, the nodes are spatially distributed and determining the path of transmission high challenging.
Harriet, Puvitha, Saravanan, Palani
core  

Cuckoo search algorithm as an optimizer for optimal reactive power dispatch problems [PDF]

, 2017
This paper presents the application of Cuckoo Search Algorithm (CSA) in optimizing the control variables of power system operation in solving the optimal reactive power dispatch (ORPD) problem. CSA is inspired by the parasitic behavior of Cuckoo birds in
M. H., Sulaiman, Zuriani, Mustaffa
core   +1 more source

An Efficient Pattern Mining Convolution Neural Network (CNN) algorithm with Grey Wolf Optimization (GWO)

, 2022
Automation of feature analysis in the dynamic image frame dataset deals with complexity of intensity mapping with normal and abnormal class. The threshold-based data clustering and feature analysis requires iterative model to learn the component of image frame in multi-pattern for different image frame data type.
Jamshed, Aatif, Mallick, Bhawna, Bharti, Rajendra Kumar   +2 more
openaire   +2 more sources

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
wiley   +1 more source

Optimasi Parameter Support Vector Regression (SVR) Menggunakan Algoritma Grey Wolf Optimizer (GWO)

Jurnal Ilmiah Matematika
Prediksi adalah suatu metode yang dilakukan untuk mendapatkan gambaran atau memperkirakan sesuatu yang terjadi di masa yang akan datang dengan menggunakan informasi atau data yang ada pada masa lampau dan masa kini. Support Vector Regression (SVR) merupakan salah satu metode yang digunakan untuk melakukan prediksi.
null Yulia Candra Dewi, null Joko Purwadi   +1 more
openaire   +2 more sources

Radar Based Secure Contactless Fall Detection Using Hybrid Optimizer with Convolution Neural Network [PDF]

Introduction: senior citizens can lead to severe injuries. Existing wearable fall-alert sensors are often ineffective as seniors tend to avoid using them, highlighting the need for non-contact sensor applications in smart homes. This study proposes a CNN-
Jeyakumar M, Nester, Rajesh M, Bennet, Samraj, Jasmine   +2 more
core   +2 more sources

OPTIMASI KAPASITAS BANK KAPASITOR UNTUK MEREDUKSI RUGI-RUGI DAYA PADA PENYULANG WORTEL MENGGUNAKAN METODE GREY WOLF OPTIMIZER (GWO) [PDF]

, 2019
Intisari — Jarak yang jauh antara sisi penyuplai energi listrik dan sisi konsumen (beban) pada jaringandistribusi menimbulkan permasalahan seperti meningkatnya rugi-rugi daya di sepanjang saluran dan jatuhtegangan.
Hasan, Khairudin, Prayogo, Christopher Theophilus, Zebua, Osea   +2 more
core   +2 more sources