Jan 19, 2020 · We compare the forecasting accuracy of Deep Artificial Neural Nets (ANN) of different architectures and Generalized Additive Models (GAM) and apply these ...

This study deals methodologically with intra-day and seasonal behaviour of the spot price series of electricity and compares the forecasting accuracy of ...

This study deals methodologically with this intra-day and seasonal behaviour. We compare the forecasting accuracy of Deep Artificial Neural Nets (ANN) of ...

Short-Term Electricity Price Forecasting: Deep ANN vs GAM · List of references · Publications that cite this publication.

This study deals methodologically with this intra-day and seasonal behaviour. We compare the forecasting accuracy of Deep Artificial Neural Nets (ANN) of ...

Short-Term Electricity Price Forecasting: Deep ANN vs GAM · Point and Interval Forecasting of Zonal Electricity Prices and Demand Using Heteroscedastic Models: ...

Artificial Neural Networks (ANN) are remarkable for short-term predictions, are easily implementable for energy markets (Sahay, 2015), and are found to be more ...

This article aims to propose short-term forecasting for a combined model of the hourly electricity price and the hourly load.

The electricity price forecasting literature is typically divided into five areas: (i) game theory models, (ii) fun- damental methods, (iii) reduced-form models ...

This paper uses the maximum information coefficient and Pearson correlation analysis to determine the main factors affecting electricity price fluctuation.