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Electric power systems load forecasting: A survey
(1999-01-01)
This work reviews the latest works on load forecasting, classifying them according to presented methods and models, as statistical, intelligent systems, neural networks and fuzzy logic. As there are many different models ...
Multinodal Load Forecast Using Euclidean ARTMAP Neural Network
(2019-09-01)
Forecasting electric demand is a fundamental part of the electric power systems, since, it provides useful information on several aspects of the network, acting directly in the planning of generation, transmission and ...
Electrical load prediction of healthcare buildings through single and ensemble learning
Healthcare buildings are characterized by complex energy systems and high energy usage, therefore
serving as the key areas for achieving energy conservation goals in the building sector. An accurate
load prediction of ...
Multinodal Load Forecasting in Power Electric Systems using a Neural Network with Radial Basis Function
(Trans Tech Publications Ltd, 2011-01-01)
In this paper we present the results of the use of a methodology for multinodal load forecasting through an artificial neural network-type Multilayer Perceptron, making use of radial basis functions as activation function ...
A local search algorithm to allocate loads predicted by spatial load forecasting studies
(2017-05-01)
In recent years, spatial load forecasting studies have helped to direct the expansion of the distribution systems in cities with rapid urban growth, providing maps that showing the spatial distribution of expected load. ...
Multifunctional applications of batteries within fast-charging stations based on EV demand-prediction of the users' behaviour
(Inst Engineering Technology-iet, 2019-07-01)
This study presents a methodology to improve the operation of the power system and to deal with technical issues caused by electric vehicles (EVs) fast charging load. Fast charging stations (FCSs) are indispensable for ...
Short-Term Multinodal Load Forecasting Using a Fuzzy-ARTMAP Neural Network
(2019-09-01)
The prediction of electric charges is essential in the electric power system, because it establishes when and how much of generation, transmission and distribution capacity must be arranged to meet the expected load without ...
Multinodal Load Forecasting in Power Electric Systems using a Neural Network with Radial Basis Function
(Trans Tech Publications Ltd, 2011-01-01)
In this paper we present the results of the use of a methodology for multinodal load forecasting through an artificial neural network-type Multilayer Perceptron, making use of radial basis functions as activation function ...
A new formulation of multinodal short-term load forecasting based on adaptive resonance theory with reverse training
(2020-02-01)
A multinodal intelligent predictive method for electrical power systems has been developed. Knowing the electrical load accurately and in advance is essential for conducting studies in regard to the system operations, and ...
Circular Switching Surface Technique: High-Performance Constant Power Load Stabilization for Electric Vehicle Systems
(Institute of Electrical and Electronics Engineers, 2015-08)
Electric vehicles make use of energy storage systems, such as batteries and/or ultracapacitors to power the electric power drive train, as well as auxiliary automotive system for control, safety, and comfort. This relatively ...