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Mostrando ítems 1-9 de 9

A hybrid model based on LSTM neural networks with attention mechanism for short-term wind power forecasting

Marulanda García, Geovanny Alberto; Cifuentes Quintero, Jenny Alexandra; Bello Morales, Antonio; Reneses Guillén, Javier (2023-08-21)

Wind power plants have gained prominence in recent decades owing to their positive environmental and economic impact. However, the unpredictability of wind resources poses significant challenges to the secure and stable ...
Air temperature forecasting using machine learning techniques: a review

Cifuentes Quintero, Jenny Alexandra; Marulanda García, Geovanny Alberto; Bello Morales, Antonio; Reneses Guillén, Javier (2020-08-02)

Efforts to understand the influence of historical climate change, at global and regional levels, have been increasing over the past decade. In particular, the estimates of air temperatures have been considered as a key ...
NN2Poly: a polynomial representation for deep feed-forward artificial neural networks

Morala Miguélez, Pablo; Cifuentes Quintero, Jenny Alexandra; Lillo Rodríguez, Rosa Elvira; Ucar, Iñaki (2023-11-14)

Interpretability of neural networks (NNs) and their underlying theoretical behavior remain an open field of study even after the great success of their practical applications, particularly with the emergence of deep learning. ...
Short-term forecasting of wind energy: a comparison of deep learning frameworks

Mora, Elianne; Cifuentes Quintero, Jenny Alexandra; Marulanda García, Geovanny Alberto (2021-12-01)

Wind energy has been recognized as the most promising and economical renewable energy source, attracting increasing attention in recent years. However, considering the variability and uncertainty of wind energy, accurate ...
Short-term spatio-temporal forecasting of air temperatures using deep graph convolutional neural networks

García Duarte, Lucia; Cifuentes Quintero, Jenny Alexandra; Marulanda García, Geovanny Alberto (2023-05-01)

Time series forecasting of meteorological variables, such as the hourly air temperature, has multiple benefits for industry, agriculture, and the environment. Due to the high accuracy required for the associated short-term ...
Short-term wind power forecasting by a long short term memory ensemble approach

Marulanda García, Geovanny Alberto; Cifuentes Quintero, Jenny Alexandra; Bello Morales, Antonio; Reneses Guillén, Javier

Wind power plants have attracted increasing attention during the last decades due to their environmental and economic benefits. However, the wind resource is inherently unpredictable, bringing important challenges to the ...
Short-term wind power forecasting by a long short term memory ensemble approach

Marulanda García, Geovanny Alberto; Cifuentes Quintero, Jenny Alexandra; Bello Morales, Antonio; Reneses Guillén, Javier (Institute of Electrical and Electronics Engineers (La Mahometa, Túnez), 2023-01-02)

Wind power plants have attracted increasing attention during the last decades due to their environmental and economic benefits. However, the wind resource is inherently unpredictable, bringing important challenges to the ...
Solar photovoltaic energy scenarios generation: a novel methodology for multi-area electricity markets

Benito Adrados, Diego; Marulanda García, Geovanny Alberto; Cifuentes Quintero, Jenny Alexandra; Bello Morales, Antonio; Reneses Guillén, Javier

In this paper, a novel methodology is introduced for the generation of solar photovoltaic energy scenarios within multi-area electricity markets. Diverging from the existing short-term focus in the literature, the proposed ...
Wind power long-term scenario generation considering spatial-temporal dependencies in coupled electricity markets

Marulanda García, Geovanny Alberto; Bello Morales, Antonio; Cifuentes Quintero, Jenny Alexandra; Reneses Guillén, Javier (2020-07-01)

Wind power has been increasing its participation in electricity markets in many countries around the world. Due to its economical and environmental benefits, wind power generation is one of the most powerful technologies ...

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A hybrid model based on LSTM neural networks with attention mechanism for short-term wind power forecasting ﻿

Air temperature forecasting using machine learning techniques: a review ﻿

NN2Poly: a polynomial representation for deep feed-forward artificial neural networks ﻿

Short-term forecasting of wind energy: a comparison of deep learning frameworks ﻿

Short-term spatio-temporal forecasting of air temperatures using deep graph convolutional neural networks ﻿

Short-term wind power forecasting by a long short term memory ensemble approach ﻿

Short-term wind power forecasting by a long short term memory ensemble approach ﻿

Solar photovoltaic energy scenarios generation: a novel methodology for multi-area electricity markets ﻿

Wind power long-term scenario generation considering spatial-temporal dependencies in coupled electricity markets ﻿

A hybrid model based on LSTM neural networks with attention mechanism for short-term wind power forecasting

Air temperature forecasting using machine learning techniques: a review

NN2Poly: a polynomial representation for deep feed-forward artificial neural networks

Short-term forecasting of wind energy: a comparison of deep learning frameworks

Short-term spatio-temporal forecasting of air temperatures using deep graph convolutional neural networks

Short-term wind power forecasting by a long short term memory ensemble approach

Short-term wind power forecasting by a long short term memory ensemble approach

Solar photovoltaic energy scenarios generation: a novel methodology for multi-area electricity markets

Wind power long-term scenario generation considering spatial-temporal dependencies in coupled electricity markets