Share Your Research, Maximize Your Social Impacts
PREDICTION OF ELECTRICAL ENERGY DEMAND USING THE MULTIPLE LINEAR REGRESSION METHOD: CASE STUDY OF THE CITY OF NDJAMENA
Journal: International Journal of Advanced Research (Vol.13, No. 01)Publication Date: 2025-01-15
Authors : Bah-Hawadi Tongrong Mahamatkher Nediguina Avarsia Tchakblo; Abakar Mahamat Tahir;
Page : 598-609
Keywords : Prediction Model Energy Need Ndjamena-Chad;
Source : Download
Find it from : Google Scholar
Abstract
The need of electrical energy has been increasing lately in developing countries. However, several methods for predicting the electric charge exist: such as statistics, artificial intelligence and hybrid approaches.
Other Latest Articles
- BRONCHOSCOPY IN SPACE: OVERCOMING MEDICAL AND ENGINEERING CHALLENGES IN A ZERO-GRAVITY ENVIRONMENT
- IMPACT OF DRESS CODE POLICIES ON THE WORK PRODUCTIVITY OF THE CORPORATE SECTOR IN INDIA
- A REVIEW ON IN VITRO AND IN VIVO MODEL ADVANCEMENTS FOR THE STUDY OF ESCHERICHIA COLI-INDUCED URINARY TRACT INFECTIONS
- TO STUDY NERVE CONDUCTION PARAMETERS IN PREDIABETICS AND HEALTHY INDIVIDUALS
- ANALYSIS OF JOURNALISM STANDARDS IN CITIZEN JOURNALISM CONTENT: A CASE OF TANZANIA BLOGS
Last modified: 2025-02-18 18:20:23