Using Machine Learning Techniques to Identify Major Determinants of Electricity Usage in Residential Buildings of Pakistan
Pakistan's residential sector accounts for a substantial 47% of national electricity
consumption, making it the country's largest electricity-consuming sector. However, there is …
consumption, making it the country's largest electricity-consuming sector. However, there is …
Analysis of big data from New York taxi trip 2023: revenue prediction using ordinary least squares solution and limitedmemory Broyden-Fletcher-Goldfarb-Shanno …
This study explores the prediction of taxi trip fares using two linear regression methods:
normal equations (ordinary least squares solution (OLS)) and limited-memory Broyden …
normal equations (ordinary least squares solution (OLS)) and limited-memory Broyden …
Confidence ellipses for simple regression parameters with Quasi-associated random errors
A el Moumen, M Bouzidi - … in Engineering and …, 2024 - ojs.studiespublicacoes.com.br
The work presented in this paper introduces a novel methodology for constructing
confidence regions for linear regression parameters using ellipses, particularly in cases …
confidence regions for linear regression parameters using ellipses, particularly in cases …
Comprehensive In-Situ Assessment of Glazing Systems: Thermal Properties, Comfort Impacts, and Machine Learning-Based Predictive Modelling
S Abolghasemi Moghaddam, M Brett… - Comfort Impacts, and … - papers.ssrn.com
Abstract To achieve Nearly Zero Energy Buildings (NZEBs), in-situ methods for evaluating
the components of building façades, including glazing systems, are essential. These …
the components of building façades, including glazing systems, are essential. These …