A review of bio-inspired computational intelligence algorithms in electricity load forecasting

SS Subbiah, J Chinnappan - Smart Buildings Digitalization, 2022 - taylorfrancis.com
The electricity load forecasting is an emerging research field in computer science. It plays a
major role in the power system and power utility companies for balancing the power demand …

Forecasting next-hour electricity demand in small-scale territories: Evidence from Jordan

S Nofal - Heliyon, 2023 - cell.com
In exceptional times of wars, natural crises (eg, snow storms), or hosting massive events (eg,
international sports events), prior knowledge of hour-by-hour electricity demand might …

A real-time electrical load forecasting in Jordan using an enhanced evolutionary feedforward neural network

L Alhmoud, R Abu Khurma, AM Al-Zoubi, I Aljarah - Sensors, 2021 - mdpi.com
Power system planning and expansion start with forecasting the anticipated future load
requirement. Load forecasting is essential for the engineering perspective and a financial …

Short-term load forecasting for Jordan power system based on NARX-ELMAN neural network and ARMA model

L Alhmoud, Q Nawafleh - IEEE Canadian Journal of Electrical …, 2021 - ieeexplore.ieee.org
Over the past few years, there is a vast expansion of the Jordan National Energy Sector.
Hence, National Electrical Power Company (NEPCO) sheds more light on load forecasting …

Day-ahead residential electricity demand response model based on deep neural networks for peak demand reduction in the Jordanian power sector

A Shaqour, H Farzaneh, H Almogdady - Applied Sciences, 2021 - mdpi.com
Featured Application The presented model can be used as a baseline model for the
implementation of peak demand response systems in Jordan. The day-ahead prediction …

Solar PV power forecasting at Yarmouk University using machine learning techniques

L Alhmoud, AM Al-Zoubi, I Aljarah - Open Engineering, 2022 - degruyter.com
Renewable energy sources are considered ubiquitous and drive the energy revolution.
Energy producers suffer from inconsistent electricity generation. They often struggled with …

Optimization of three-phase feeder load balancing using smart meters

L Alhmoud, W Marji - IEEE Canadian Journal of Electrical and …, 2021 - ieeexplore.ieee.org
Power losses in distribution systems are among the most important performance indicators
of electricity distribution companies' economic operations. Therefore, the distribution system …

[PDF][PDF] Integration of predictive and computational intelligent techniques: A hybrid optimization mechanism for PMSM dynamics reinforcement.

S Chirantan, BB Pati - AIMS Electronics & Electrical Engineering, 2024 - aimspress.com
Integration of predictive and computational intelligent techniques: A hybrid optimization
mechanism for PMSM dynamics reinforcem Page 1 AIMS Electronics and Electrical …

Daily load curve prediction for Jordan based on statistical techniques

MA Momani, L Alhmoud - Open Engineering, 2023 - degruyter.com
The article proposes a mathematical prediction model for daily load curves (DLCs) in Jordan
from 2023–2050. The historical hourly peak loads based on the growth rate statistical …

Short-term Load Forecasting using Genetic Algorithm based Artificial Neural Network

M Shakir - Jordan Journal of Energy, 2024 - dsr.mutah.edu.jo
The electrical load Forecasting is considered one of the main and important points for the
planning for the future in the electric power networks in both of transmission and distribution …