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Mostrando ítems 1-10 de 2075
Short-term multinodal load forecasting in distribution systems using general regression neural networks
(2011-10-05)
Multinodal load forecasting deals with the loads of several interest nodes in an electrical network system, which is also known as bus load forecasting. To perform this demand, it is necessary a technique that is precise, ...
Short-term multinodal load forecasting in distribution systems using general regression neural networks
(2011-10-05)
Multinodal load forecasting deals with the loads of several interest nodes in an electrical network system, which is also known as bus load forecasting. To perform this demand, it is necessary a technique that is precise, ...
Reconfiguration and reinforcement allocation as applied to hourly medium-term load forecasting of distribution feeders
(Institution of Engineering and Technology, 2020)
In this study, a methodology to develop hourly demand scenarios in a medium-term horizon for primary distribution substations is presented and applied to a case study. The main contribution of this study is that it addresses ...
Probabilistic Latent Semantic Analyses (PLSA) in Bibliometric Analysis for Technology Forecasting
(Universidad Alberto Hurtado. Facultad de Economía y Negocios, 2014)
On the forecasting of the challenging world future scenarios
(Elsevier Science IncNew YorkEUA, 2011)
Emerging Requirements for Technology Management: A Sector-based Scenario Planning Approach
(Universidad Alberto Hurtado. Facultad de Economía y Negocios, 2014)
Preprocessing data for short-term load forecasting with a general regression neural network and a moving average filter
(2011-10-05)
This paper proposes a filter based on a general regression neural network and a moving average filter, for preprocessing half-hourly load data for short-term multinodal load forecasting, discussed in another paper. Tests ...
Preprocessing data for short-term load forecasting with a general regression neural network and a moving average filter
(2011-10-05)
This paper proposes a filter based on a general regression neural network and a moving average filter, for preprocessing half-hourly load data for short-term multinodal load forecasting, discussed in another paper. Tests ...
On the logistic modeling and forecasting of evolutionary processes: Application to human population dynamics
(Elsevier Science IncNew YorkEUA, 2010)