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About

About

Filipe Azevedo received his diploma in 1999, the M.Sc. in 2003, both in Electrical Engineering from Porto University, Portugal, and the Ph.D. degree in 2008 on Electrical Engineering at the University of Trás-os-Montes e Alto Douro (UTAD), Portugal. He is currently an Assistant Professor at ISEP/IPP - School of Engineering, Polytechnic Institute of Porto, Portugal, and an Researcher at INESC TEC - INESC Technology and Science, Porto, Portugal. His main research interests are Economics applied to Energy Markets, Decision-Support System techniques applied to Economics Engineering problems, Artificial Intelligence (A.I.) applications, Smart Grids and Renewable Energy production integration on power systems. Filipe Azevedo has also interests in National Security related problems, encryption and cryptography.

Interest
Topics
Details

Details

  • Name

    Filipe Azevedo
  • Cluster

    Power and Energy
  • Role

    Senior Researcher
  • Since

    01st September 2011
Publications

2016

Price forecasting and validation in the Spanish electricity market using forecasts as input data

Authors
Ortiz, M; Ukar, O; Azevedo, F; Mugica, A;

Publication
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Abstract
The electricity sector has been subjected to major changes in the last few years. Previously, there existed a regulated system where electric companies could know beforehand the amount of energy each generator would produce, hence basing their largely operational strategy on cost minimization in order to increase their profits. In Spain, from 1988 till 1997, electricity prices were established by the 'Marco Legal Estable' Stable Legal Framework, where the Ministry of Industry and Energy acknowledged the existence of certain generation costs related to each type of technology. It was an industrial sector with no actual competition and therefore, with very few controllable risks. In the aftermath of the electricity market liberalization competition and uncertainty arose. Electricity spot prices became highly volatile due to the specific characteristics of electricity as a commodity. Long-term contracts allowed for hedge funds to act against price fluctuation in the electricity market. As a consequence, developing an accurate electricity price forecasting model is an extremely difficult task for electricity market agents. This work aims to propose a methodology to improve the limitations of those methodologies just using historical data to forecast electricity prices. In this manner, and in order to gain access to more recent data, instead of using natural gas prices and electricity load historical data, a regression model to forecast the evolution of natural gas prices, and a model based on artificial neural networks (ANN) to forecast electricity loads, are proposed. The results of these models are used as input for an electricity price forecast model. Finally, and to demonstrate the effectiveness of the proposed methodology, several study cases applied to the Spanish market, using real price data, are presented.

2014

Analysis of electricity market prices using multidimensional scaling

Authors
Azevedo, F; Machado, JT;

Publication
Mathematical Methods in Engineering

Abstract
This paper studies the impact of the energy upon electricity markets using Multidimensional Scaling (MDS). Data from major energy and electricity markets is considered. Several maps produced by MDS are presented and discussed revealing that this method is useful for understanding the correlation between them. Furthermore, theresults help electricity markets agents hedging against Market Clearing Price (MCP) volatility. © Springer Science+Business Media Dordrecht 2014.

2013

Multidimensional scaling analysis of electricity market prices

Authors
Azevedo, F; Machado, JT;

Publication
Intelligent Systems, Control and Automation: Science and Engineering

Abstract
This paper studies the impact of energy and stock markets upon electricity markets using Multidimensional Scaling (MDS). Historical values from major energy, stock and electricity markets are adopted. To analyze the data several graphs produced by MDS are presented and discussed. This method is useful to have a deeper insight into the behavior and the correlation of the markets. The results may also guide the construction models, helping electricity markets agents hedging against Market Clearing Price (MCP) volatility and, simultaneously, to achieve better financial results. © 2013, Springer Science+Business Media Dordrecht.

2012

Analysis of Electricity Markets Using Multidimensional Scaling

Authors
Filipe Azevedo; J. Tenreiro Machado

Publication
EEM 2012 - 9th International Conference on the European Electricity Market, pp.1-4, Florence, Itália

Abstract
This paper studies the impact of the energy upon electricity markets using Multidimensional Scaling (MDS). MDS is a computational and statistical technique that produces a spatial representation of similarity between objects through factors of relatedness. MDS represents in a low dimensional map data points whose similarities are defined in a higher dimensional space. Data from major energy and electricity markets is considered. Several maps produced by MDS are presented and discussed revealing that this method is useful for understanding the correlation between them. Furthermore, the results help electricity markets agents hedging against Market Clearing Price (MCP) volatility.

2012

Computational Intelligence and Decision Making

Authors
Filipe Azevedo;

Publication
vol.0

Abstract
This paper studies the impact of energy and stock markets upon electricity markets using Multidimensional Scaling (MDS). Historical values from major energy, stock and electricity markets are adopted. To analyze the data several graphs produced by MDS are presented and discussed. This method is useful to have a deeper insight into the behavior and the correlation of the markets. The results may also guide the construction models, helping electricity markets agents hedging against Market Clearing Price (MCP) volatility and, simultaneously, to achieve better financial results.

Supervised
thesis

2018

Algoritmo que Determina los Indices de Precio para la Mejora en la Toma de Decisiones de la Nueva Contratacion del Suministro Electrico

Author
Maria Ortiz Cavada

Institution
Outra

2017

Intervenções básicas do sistema de tração.

Author
AJIN SUSAN KURIAN

Institution
IPP-ISEP

2017

Digitalização de processos em ambiente empresarial: aplicação "Balcão da Inovação Tecnológica"

Author
LEANDRO BARREIRA DA SILVA

Institution
IPP-ISEP