2004 - IEEE Fellow For contributions to analytical techniques for power system scheduling.
Antonio J. Conejo focuses on Mathematical optimization, Linear programming, Microeconomics, Electricity and Integer programming. The concepts of his Mathematical optimization study are interwoven with issues in Electricity generation, Activity-based costing, Nonlinear programming and Power system simulation. His Linear programming research is multidisciplinary, incorporating elements of Profit maximization, Electricity market and Sensitivity.
His Microeconomics study incorporates themes from Stochastic programming, Economic forecasting and Wind power. His Electricity research is multidisciplinary, relying on both Procurement, Robust optimization and Econometrics. The study incorporates disciplines such as Reliability, Bilevel optimization, Dynamic programming, Profit and Power system security in addition to Integer programming.
The scientist’s investigation covers issues in Mathematical optimization, Electricity, Electricity market, Electric power system and Microeconomics. His Mathematical optimization research incorporates themes from Transmission and Power system simulation. His studies deal with areas such as Market clearing, Econometrics, Bidding, Clearing and Operations research as well as Electricity.
His Electricity market course of study focuses on Production and Investment. His work carried out in the field of Electric power system brings together such families of science as Control theory and Natural gas. His work focuses on many connections between Stochastic programming and other disciplines, such as Renewable energy, that overlap with his field of interest in Environmental economics.
His primary scientific interests are in Electric power system, Mathematical optimization, Electricity, Wind power and Natural gas. His Electric power system research also works with subjects such as
The Electricity market research he does as part of his general Electricity study is frequently linked to other disciplines of science, such as Economic management, therefore creating a link between diverse domains of science. His Wind power study combines topics in areas such as Load modeling, Automotive engineering and Computation. Antonio J. Conejo usually deals with Industrial organization and limits it to topics linked to Profit and Equilibrium problem and Linear programming.
His main research concerns Mathematical optimization, Electric power system, Robustness, Electric power transmission and Stochastic process. The concepts of his Mathematical optimization study are interwoven with issues in Nonlinear system, Power system simulation and Computation. He combines subjects such as Electricity, Natural gas, Discretization, Hierarchical clustering and Renewable energy with his study of Electric power system.
Antonio J. Conejo specializes in Electricity, namely Electricity market. His Robustness research incorporates elements of Linear programming, Wind power and AC power. The various areas that Antonio J. Conejo examines in his Stochastic process study include Production and Stochastic modelling.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Decision Making Under Uncertainty in Electricity Markets
L.A. Barroso;A.J. Conejo.
(2010)
ARIMA models to predict next-day electricity prices
Javier Contreras;Rosario Espinola;F. J. Nogales;Antonio J. Conejo.
IEEE Transactions on Power Systems (2002)
Forecasting next-day electricity prices by time series models
F. J. Nogales;J. Contreras;A. J. Conejo;R. Espinola.
IEEE Transactions on Power Systems (2002)
Day-ahead electricity price forecasting using the wavelet transform and ARIMA models
A.J. Conejo;M.A. Plazas;R. Espinola;A.B. Molina.
IEEE Transactions on Power Systems (2005)
Real-Time Demand Response Model
Antonio J Conejo;Juan M Morales;Luis Baringo.
IEEE Transactions on Smart Grid (2010)
Decision Making Under Uncertainty in Electricity Markets
Antonio J. Conejo;Miguel Carrión;Juan M. Morales.
Operations Research and Management Science (2010)
Decomposition Techniques in Mathematical Programming: Engineering and Science Applications
Antonio J. Conejo.
(2006)
Complementarity Modeling in Energy Markets
Steven A. Gabriel;Antonio J. Conejo;J. David Fuller;Benjamin F. Hobbs.
(2012)
Electric Energy Systems : Analysis and Operation
Antonio Gomez-Exposito;Antonio J. Conejo;Claudio Canizares.
(2008)
Economic Valuation of Reserves in Power Systems With High Penetration of Wind Power
J.M. Morales;A.J. Conejo;J. Perez-Ruiz.
IEEE Transactions on Power Systems (2009)
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