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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). -
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 ... -
A new methodology to obtain a feasible thermal operation in power systems in a medium-term horizon
Montero Guirao, Luis Manuel; Bello Morales, Antonio; Reneses Guillén, Javier (2020-06-02)Nowadays, electricity market paradigms are constantly changing. On the one hand, the deployment of non-dispatchable renewable energy sources is bringing out the necessity of representing hourly dynamics in medium-term ... -
A New Model to Simulate Local Market Power in a Multi-Area Electricity Market: Application to the European Case
Orgaz Gil, Alberto; Bello Morales, Antonio; Reneses Guillén, Javier (30/05/2019)- -
A new model to simulate local market power in a multi-area electricity market: application to the European case
Orgaz Gil, Alberto; Bello Morales, Antonio; Reneses Guillén, Javier (2019-06-01)The work presented in this article proposes an original method that models the medium-term market equilibrium under imperfect competition circumstances in multi-area electricity systems. It provides a system analysis ... -
A review on the unit commitment problem: approaches, techniques, and resolution methods
Montero Guirao, Luis Manuel; Bello Morales, Antonio; Reneses Guillén, Javier (2022-02-02)Optimizing the schedule of thermal generators is probably the most important task when the operation of power systems is managed. This issue is known as the unit commitment problem in operational research. It has been ... -
A two-stage approach to represent the daily LNG carriers unloading in natural gas optimization models
Navarrete Cruz, Diana María; Bello Morales, Antonio; Rodilla Rodríguez, PabloNatural gas is expected to play a key role in the energy system of the next decade since it is one of the mainstays of global energy and can still replace more polluting fuels. At the same time, many countries’ dependence ... -
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 ... -
An efficient approach to study non-perfect competition in a multi-area electricity market: application to the European case
Orgaz Gil, Alberto; Bello Morales, Antonio; Reneses Guillén, JavierThis paper presents an efficient approach for computing medium-term market equilibrium models under non-perfect competition, with a focus on multi-area systems, with multiple market splitting options. In accordance to the ... -
Analyzing the computational performance of balance constraints in the medium-term unit commitment problem: Tightness, compactness, and arduousness
Montero Guirao, Luis Manuel; Bello Morales, Antonio; Reneses Guillén, Javier (2024-06-10)Este artículo analiza la implicación computacional de diferentes restricciones de balance en el unit commitment problem. Estudia su tightness and compactness y propone ‘arduousness’ como nueva métrica para mejorar las ... -
Decision support models in the electric power industry
Baíllo Moreno, Álvaro; Bello Morales, Antonio; Centeno Hernáez, Efraim; Cossent Arín, Rafael; García González, Javier; Gómez San Román, Tomás; González Sotres, Luis Felipe; Ramos Galán, Andrés (27/03/2019) -
Decision support models in the electric power industry
Bello Morales, Antonio; García González, Javier; Gómez San Román, Tomás; Lumbreras Sancho, Sara; Ramos Galán, Andrés; Tejada Arango, Diego Alejandro (10/09/2021) -
Decision support models in the electric power industry
Bello Morales, Antonio; Cossent Arín, Rafael; García González, Javier; Gómez San Román, Tomás; González Sotres, Luis Felipe; Lumbreras Sancho, Sara; Ramos Galán, Andrés; Tejada Arango, Diego Alejandro (08/09/2020) -
Decision support models in the electric power industry
Bello Morales, Antonio; Cossent Arín, Rafael; García González, Javier; Gómez San Román, Tomás; González Sotres, Luis Felipe; Lumbreras Sancho, Sara; Ramos Galán, Andrés; Tejada Arango, Diego Alejandro (28/11/2019) -
Decision support models in the electric power industry
Bello Morales, Antonio; García González, Javier; Gómez San Román, Tomás; Lumbreras Sancho, Sara; Ramos Galán, Andrés; Tejada Arango, Diego Alejandro (28/07/2022) -
Decision support models in the electric power industry
Bello Morales, Antonio; García González, Javier; Gómez San Román, Tomás; Lumbreras Sancho, Sara; Mateo Domingo, Carlos; Ramos Galán, Andrés (09/09/2024) -
Decision support models in the electric power industry
Bello Morales, Antonio; García González, Javier; Gómez San Román, Tomás; Lumbreras Sancho, Sara; Ramos Galán, Andrés; Tejada Arango, Diego Alejandro (08/09/2023) -
Electricity price forecasting in the short term hybridising fundamental and econometric modelling
Marcos Peirotén, Rodrigo Alejandro de; Bello Morales, Antonio; Reneses Guillén, JavierTraders and practitioners in diverse power exchanges are nowadays being most exposed to uncertainty than ever. The combination of several factors such as renewable generation and regulatory changes calls for suitable ... -
Explanatory variable selection for forecasting extreme prices in electricity markets: application to the Spanish case
Bello Morales, Antonio; Reneses Guillén, JavierDuring the last years, non-dispatchable generation has increased its participation in electricity markets worldwide. As a result, the occurrence of extremely low and extremely high prices is becoming more and more common. ... -
Functional regression for estimating probability density functions: an application to electricity price forecasting
Portela González, José; Bello Morales, AntonioProbabilistic forecasting of electricity prices in the medium term is highly important for operational scheduling, fuel purchasing, trading and profit management. In this context, fundamental models are frequently used, ...