A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

MQ Raza, A Khosravi - Renewable and Sustainable Energy Reviews, 2015 - Elsevier
Electrical load forecasting plays a vital role in order to achieve the concept of next
generation power system such as smart grid, efficient energy management and better power …

An intelligent hybrid short-term load forecasting model for smart power grids

MQ Raza, M Nadarajah, DQ Hung… - Sustainable Cities and …, 2017 - Elsevier
An accurate load forecasting is always particularly important for optimal planning and
energy management in smart buildings and power systems. Millions of dollars can be saved …

Load forecasting techniques for power system: Research challenges and survey

N Ahmad, Y Ghadi, M Adnan, M Ali - IEEE Access, 2022 - ieeexplore.ieee.org
The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …

[HTML][HTML] Machine learning approach for short-term load forecasting using deep neural network

MA Alotaibi - Energies, 2022 - mdpi.com
Power system demand forecasting is a crucial task in the power system engineering field.
This is due to the fact that most system planning and operation activities basically rely on …

A short-term load forecasting method using integrated CNN and LSTM network

SH Rafi, SR Deeba, E Hossain - IEEE access, 2021 - ieeexplore.ieee.org
In this study, a new technique is proposed to forecast short-term electrical load. Load
forecasting is an integral part of power system planning and operation. Precise forecasting …

Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid

G Hafeez, KS Alimgeer, I Khan - Applied Energy, 2020 - Elsevier
Accurate electric load forecasting is important due to its application in the decision making
and operation of the power grid. However, the electric load profile is a complex signal due to …

Electrical load forecasting models for different generation modalities: a review

A Azeem, I Ismail, SM Jameel, VR Harindran - IEEE Access, 2021 - ieeexplore.ieee.org
The intelligent management of power in electrical utilities depends on the high significance
of load forecasting models. Since the industries are digitalized, power generation is …

[HTML][HTML] Load forecasting techniques and their applications in smart grids

H Habbak, M Mahmoud, K Metwally, MM Fouda… - Energies, 2023 - mdpi.com
The growing success of smart grids (SGs) is driving increased interest in load forecasting
(LF) as accurate predictions of energy demand are crucial for ensuring the reliability …

[PDF][PDF] Methods and models for electric load forecasting: a comprehensive review

MA Hammad, B Jereb, B Rosi… - Logist. Sustain …, 2020 - intapi.sciendo.com
Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and
plays a crucial role in electric capacity scheduling and power systems management and …

Review of load forecasting based on artificial intelligence methodologies, models, and challenges

H Hou, C Liu, Q Wang, X Wu, J Tang, Y Shi… - Electric Power Systems …, 2022 - Elsevier
Accurate load forecasting can efficiently reduce the day-ahead dispatch stress of power
system or microgrid. The overview of load forecasting based on artificial intelligence models …