Predictive Modelling for Residential Construction Demands Using ElasticNet Regression
The residential construction sector is critical to economic stability and housing availability. Residential construction demands often fluctuate due to demographic, economic, social, or market condition variables. This study seeks to investigate the significance of these external variables and produ...
Saved in:
| Main Authors: | Elrasheid Elkhidir, Tirth Patel, James Olabode Bamidele Rotimi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/15/10/1649 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Residential energy demand elasticity in Ghana: an application of the quadratic almost ideal demand systems (QUAIDS) model
by: Divine Kwaku Kutortse
Published: (2022-12-01) -
Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon
by: Abhishu Oza, et al.
Published: (2025-01-01) -
Residential Electricity Demand Modelling: Validation of a Behavioural Agent-Based Approach
by: Baxter L. M. Williams, et al.
Published: (2025-03-01) -
FORECASTING AUTOMOBILE DEMAND AND SALES IN THE NIGERIAN MARKET: A MACHINE LEARNING APPROACH TO URBAN MOBILITY, MARKET COMPETITION, AND POLICY INSIGHTS
by: Emmanuel Imuede Oyasor
Published: (2024-09-01) -
Estimation and Forecasting of Nigeria’s Residential, Commercial, and Industrial Electricity Demands
by: Prosper O. Ugbehe, et al.
Published: (2025-01-01)