Electricity demand forecasting using a novel time series ensemble technique

H Iftikhar, SM Gonzales, J Zywiołek… - IEEE …, 2024 - ieeexplore.ieee.org
Accurate and efficient demand forecasting is essential to grid stability, supply, and
management in today's electricity markets. Due to the complex pattern of electric power …

[PDF][PDF] A Survey of Quantitative Techniques in Electricity Consumption—A Global Perspective

AM Khan, A Wyrwa - Energies, 2024 - researchgate.net
This study uses the Scopus and Web of Science databases to review quantitative methods
to forecast electricity consumption from 2015 to 2024. Using the PRISMA approach, 175 …

A study on the prediction of electricity consumption considering the energy efficiency measures—applied in case of the Brazilian public sector

DB Filgueiras, FL Coelho da Silva - Energy Efficiency, 2023 - Springer
The forecast of electricity consumption is very important for the energy planning of a country,
company, or region. The interest in electricity consumption projections is related, in general …

Comparing Neural Network Autoregressive Method for Import Duty Revenue Forecasting

YK Hartono - Jurnal Perspektif Bea dan Cukai, 2022 - jurnal.pknstan.ac.id
Neural Network is one of the interesting methods in data analytics used to forecast time-
series data in the previous years. In one of the initiative strategies, the Directorate General of …

A Review on Deep Learning and Hybrid Model for Forecasting Residential and Commercial Buildings Energy Consumption

SSM Isa, AA Abd Samat, NH Shamsudin… - … and Data Sciences …, 2024 - ieeexplore.ieee.org
The population growth and urbanization have a significant impact on the current rise in
electricity demand. Therefore, it is essential to embrace a proactive approach to determine …