[HTML][HTML] Strategies for predictive power: Machine learning models in city-scale load forecasting
This study focuses on enhancing machine learning (ML) algorithms' performance in
predicting daily loads for Kirkuk, Iraq—an essential element in energy planning, resource …
predicting daily loads for Kirkuk, Iraq—an essential element in energy planning, resource …
Reducing Complexity: A Comparative Analysis of Dimensionality-Reduction Techniques
R Ramachandran, G Govind… - 2023 4th IEEE …, 2023 - ieeexplore.ieee.org
Machine Learning (ML) is a modern fast-growing technology. It has extensive applications in
disciplines like computer vision, bioinformatics, the medical field, finance, fraud detection …
disciplines like computer vision, bioinformatics, the medical field, finance, fraud detection …
[PDF][PDF] Classification of Synthesised ISAR Images of Small Complex Targets
C Stewart-Burger - 2023 - scholar.sun.ac.za
I would firstly like to thank my supervisor, Dr DJ Ludick, and co-supervisor, Dr M. Potgieter,
for their continued help and guidance throughout this project. I appreciate you making time …
for their continued help and guidance throughout this project. I appreciate you making time …
Computation of financial risk using principal component analysis
M Mavungu - Algorithmic Finance, 2023 - content.iospress.com
Abstract This article uses Principal Component Analysis to compute and extract the main
factors for the financial risk of a portfolio, to determine the most dominating stock for each …
factors for the financial risk of a portfolio, to determine the most dominating stock for each …
[PDF][PDF] e-Prime-Advances in Electrical Engineering, Electronics and Energy
O Nooruldeen, MR Baker, AM Aleesa, A Ghareeb - researchgate.net
This study focuses on enhancing machine learning (ML) algorithms' performance in
predicting daily loads for Kirkuk, Iraq—an essential element in energy planning, resource …
predicting daily loads for Kirkuk, Iraq—an essential element in energy planning, resource …