A comprehensive review of the load forecasting techniques using single and hybrid predictive models

A Al Mamun, M Sohel, N Mohammad… - IEEE …, 2020 - ieeexplore.ieee.org
Load forecasting is a pivotal part of the power utility companies. To provide load-shedding
free and uninterrupted power to the consumer, decision-makers in the utility sector must …

Review of Short‐Term Load Forecasting for Smart Grids Using Deep Neural Networks and Metaheuristic Methods

B Islam, M Rasheed, SF Ahmed - Mathematical Problems in …, 2022 - Wiley Online Library
Forecasting electricity load demand is critical for power system planning and energy
management. In particular, accurate short‐term load forecasting (STLF), which focuses on …

[HTML][HTML] Solving the cold-start problem in short-term load forecasting using tree-based methods

J Moon, J Kim, P Kang, E Hwang - Energies, 2020 - mdpi.com
An energy-management system requires accurate prediction of the electric load for optimal
energy management. However, if the amount of electric load data is insufficient, it is …

[HTML][HTML] Bayesian optimized echo state network applied to short-term load forecasting

G Trierweiler Ribeiro, J Guilherme Sauer… - Energies, 2020 - mdpi.com
Load forecasting impacts directly financial returns and information in electrical systems
planning. A promising approach to load forecasting is the Echo State Network (ESN), a …

[HTML][HTML] A data-driven model to forecast multi-step ahead time series of Turkish daily electricity load

KD Ünlü - Electronics, 2022 - mdpi.com
It is critical to maintain a balance between the supply and the demand for electricity because
of its non-storable feature. For power-producing facilities and traders, an electrical load is a …

Self-updating machine learning system for building load forecasting-method, implementation and case-study on COVID-19 impact

Y Besanger, QT Tran - Sustainable Energy, Grids and Networks, 2022 - Elsevier
Accurate building load forecasting is a challenging task due to the large volume of input
information, their non-linearity and variant nature due to human activities. In this study, we …

Short-Term Load Forecasting: A Comprehensive Review and Simulation Study With CNN-LSTM Hybrids Approach

K Ullah, M Ahsan, SM Hasanat, M Haris… - IEEE …, 2024 - ieeexplore.ieee.org
Short-term load forecasting (STLF) is vital in effectively managing the reserve requirement in
modern power grids. Subsequently, it supports the grid operator in making effective and …

Short term Markov corrector for building load forecasting system–Concept and case study of day-ahead load forecasting under the impact of the COVID-19 pandemic

Y Besanger - Energy and Buildings, 2022 - Elsevier
In this paper, we present the concept and formulation of a short-term Markov corrector to an
underlying day-ahead building load forecasting model. The models and the correctors are …

A brief review of condition monitoring techniques for the induction motor

D Kumar, J Daudpoto - … of the Canadian Society for Mechanical …, 2019 - cdnsciencepub.com
The induction motor is widely used in industry owing to its simple construction and low cost.
In this paper, we present a state-of-the-art review of condition monitoring techniques for the …

[HTML][HTML] Hyperparameter Tuning of Load-Forecasting Models Using Metaheuristic Optimization Algorithms—A Systematic Review

U Mumtahina, S Alahakoon, P Wolfs - Mathematics, 2024 - mdpi.com
Load forecasting is an integral part of the power industries. Load-forecasting techniques
should minimize the percentage error while prediction future demand. This will inherently …