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Statistical post-processing of ensemble forecasts of temperature in Santiago de Chile
(John Wiley and Sons Ltd, 2020)
Modelling forecast uncertainty is a difficult task in any forecasting problem. In weather forecasting a possible solution is the use of forecast ensembles, which are obtained from multiple runs of numerical weather prediction ...
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 ...
Fuzzy Time Series Methods Applied to Short -Term Photovoltaic Power Forecasting Forecasting
(, 2021)
Abstract— Solar photovoltaic energy has shown a significant growth in the last decade. In the face of this growth, there are challenges to consider for the high penetration rates of solar photovoltaic, since this type of ...
On predicting wind power series by using Bayesian Enhanced modified based-neural network
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this paper, wind power series prediction using BEA modified (BEAmod.) neural networks-based approach is presented. Wind power forecasting is a complex, multidimensional, and highly non-linear system. Neural network is ...
Atualização do sistema de previsão atmosférica regional por conjunto através do modelo WRF na Epagri/Ciram
(Florianópolis, SC, 2022-04-01)
Este trabalho descreve a implementação do sistema de previsão atmosférica por conjunto (weather ensemble forecast) implementado na Epagri/Ciram, no qual fornece os dados de entrada para a previsão de geadas da própria ...
Cross-validation based forecasting method: a machine learning approach
(2019-02)
Our paper aims to evaluate two novel methods on selecting the best forecasting model or its combination based on a Machine Learning approach. The methods are based on the selection of the ”best” model, or combination of ...
Spatial load forecasting using a demand propagation approach
(2011-05-31)
A method for spatial electric load forecasting using multi-agent systems, especially suited to simulate the local effect of special loads in distribution systems is presented. The method based on multi-agent systems uses ...
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 ...