Results 81 to 90 of about 8,834 (223)
HADA: A Hybrid Anomaly Detection Approach Using Unsupervised Machine Learning
Overview of HADA, an unsupervised fraud detection pipeline that preprocesses and scales transaction data, applies PCA for dimensionality reduction, scores anomalies using Isolation Forest, selects anomalous transactions via thresholding, and clusters the selected anomalies using Agglomerative Hierarchical Clustering (AHC) to produce interpretable ...
Francis Thiong'o +3 more
wiley +1 more source
Grey Wolf Optimizer to Real Power Dispatch with Non-Linear Constraints [PDF]
A new and efficient Grey Wolf Optimization (GWO) algorithm is implemented to solve real power economic dispatch (RPED) problems in this paper. The nonlinear RPED problem is one the most important and fundamental optimization problem which reduces the ...
G. R. Venkatakrishnan +2 more
core +2 more sources
ABSTRACT Unequal load distribution in three‐phase power distribution networks leads to voltage unbalance and decreased network efficiency. Integration of photovoltaics (PVs) and electric vehicle charging stations (EVCSs) into such networks is a challenging task as their penetration affects the power quality of the system.
Maaz Ahmad +4 more
wiley +1 more source
Optimasi Parameter Support Vector Regression (SVR) Menggunakan Algoritma Grey Wolf Optimizer (GWO)
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 +1 more
openaire +2 more sources
A newly hybrid nature inspired algorithm called HPSOGWO is presented with the combination of Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO).
Narinder Singh, S. B. Singh
doaj +1 more source
Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters
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 +4 more
wiley +1 more source
This research article introduces a hybrid optimization algorithm, referred to as Grey Wolf Optimizer-Teaching Learning Based Optimization (GWO-TLBO), which extends the Grey Wolf Optimizer (GWO) by integrating it with Teaching-Learning-Based Optimization (
Harleenpal Singh +6 more
doaj +1 more source
GWO-LPWSN: Grey Wolf Optimization Algorithm for Node Localization Problem in Wireless Sensor Networks [PDF]
Seyedali Mirjalili et al. (2014) introduced a completely unique metaheuristic technique particularly grey wolf optimization (GWO). This algorithm mimics the social behavior of grey wolves whereas it follows the leadership hierarchy and attacking strategy. The rising issue in wireless sensor network (WSN) is localization problem.
R. Rajakumar +3 more
openaire +2 more sources
Forecasting Carbon Prices: A Literature Review
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 +2 more
wiley +1 more source
AN OPTIMAL POWER SCHEDULING A SMART HOME USING GREY WOLF OPTIMIZER (GWO)
In this paper, GWO is adapted for Power Schedul- ing Problem (PSP). PSP is addressed by schedul- ing home appliances to a certain time horizon to minimize the electricity bill and peak-to-average ratio (PAR) and increase the comfort level of users. The simulation results shows the GWO ef- ficiency in obtaining optimal schedule by com- pare its results ...
openaire +1 more source

