Electric load forecasting using a fuzzy ART&ARTMAP neural network
… the ART architecture (adaptive resonance theory), named fuzzy ART&ARTMAP neural
network, applied to the electric load-forecasting problem. The neural networks based on the ART …
network, applied to the electric load-forecasting problem. The neural networks based on the ART …
Short-term electrical load forecasting using a fuzzy ARTMAP neural network
SE Skarman, M Georgiopoulos… - … and Science of …, 1998 - spiedigitallibrary.org
… in this work we applied the Fuzzy ARTMAP neural network to the electric load forecasting …
Therefore, we applied the Fuzzy ARTMAP NN to the electrical load forecasting problem and …
Therefore, we applied the Fuzzy ARTMAP NN to the electrical load forecasting problem and …
Multinodal load forecasting for distribution systems using a fuzzy-artmap neural network
T Abreu, AJ Amorim, CR Santos-Junior… - Applied Soft …, 2018 - Elsevier
… of the required studies for a power system's operation (load flow analysis, voltage, and angle
… a multinodal load forecasting method considering the load at several points of the electrical …
… a multinodal load forecasting method considering the load at several points of the electrical …
A state-of-the-art review of artificial intelligence techniques for short-term electric load forecasting
… power system, accurate electric load forecasting has come into prominence recently. The …
-art review of three artificial intelligence techniques for short-term electric load forecasting is …
-art review of three artificial intelligence techniques for short-term electric load forecasting is …
… efficient approach for electric load forecasting using distributed ART (adaptive resonance theory) & HS-ARTMAP (Hyper-spherical ARTMAP network) neural network
Y Cai, J Wang, Y Tang, Y Yang - Energy, 2011 - Elsevier
… fuzzy ART [18], the input could be presented to network directly. Electrical load forecasting
… So we do not preprocess the output of the HS-ARTMAP network. But for the Multi-input–multi…
… So we do not preprocess the output of the HS-ARTMAP network. But for the Multi-input–multi…
Electrical load forecasting in disaggregated levels using fuzzy ARTMAP artificial neural network and noise removal by singular spectrum analysis
MR Müller, G Gaio, EM Carreno, ADP Lotufo… - SN Applied …, 2020 - Springer
… two techniques aiming better forecast results. However… Fuzzy ARTMAP ANN for load
forecasting, this is an original contribution of this paper. In addition, in most of the literature, the load …
forecasting, this is an original contribution of this paper. In addition, in most of the literature, the load …
Artificial intelligence in short term electric load forecasting: a state-of-the-art survey for the researcher
K Metaxiotis, A Kagiannas, D Askounis… - Energy conversion and …, 2003 - Elsevier
… This paper provides an overview for the researcher of AI technologies, as well as their current
use in the field of short term electric load forecasting (STELF). The history of AI in STELF is …
use in the field of short term electric load forecasting (STELF). The history of AI in STELF is …
Short-term multinodal load forecasting using a fuzzy-ARTMAP neural network
T Abreu, JR Moreira, CR Minussi… - 2019 IEEE PES …, 2019 - ieeexplore.ieee.org
… Fuzzy, based on the adaptive resonance theory (ART) [21], which are stable and plastic, ie …
1) the use of the Fuzzy ARTMAP neural network [22]; (2) the use of a global load participation …
1) the use of the Fuzzy ARTMAP neural network [22]; (2) the use of a global load participation …
Computational intelligence techniques for short-term electric load forecasting
S Tzafestas, E Tzafestas - Journal of Intelligent and Robotic Systems, 2001 - Springer
… Electric load forecasting has received an increasing attention … for the effective and economic
operation of power utilities. The aim of … This is also true for the fuzzy ART learning which was …
operation of power utilities. The aim of … This is also true for the fuzzy ART learning which was …
Development of a Short-Term Electrical Load Forecasting in Disaggregated Levels Using a Hybrid Modified Fuzzy-ARTMAP Strategy
… This paper proposes a flexible Machine Learning (ML) approach to address electrical
load forecasting at various levels of disaggregation in the Peruvian Interconnected Electrical …
load forecasting at various levels of disaggregation in the Peruvian Interconnected Electrical …