He is currently a Ph.D. candidate in computer engineering in the Department of Computer Science and Automation, the University of Salamanca(USAL), Salamanca, Spain. Besides, he is one of the researchers of the DREAM-GO project in BISITE research group, Salamanca, Spain.

DREAM-GO is an international project that its aim is to increase the efficient of the power system based on the smart grid (SG) infrastructure.  Hence, novel intelligent energy management methods and adequate electricity market models will be presented in this project to enable demand response (DR) for real-time operation of the SG.

According to his academic background, he received the B.Sc. degree in 2011 from Khajeh Nasir Toosi University of Technology (KNTU), Tehran, Iran, and the M.Sc. degree in 2013 from Imam Khomeini International University (IKIU), Qazvin, Iran. He earned both degrees in the field of power electrical engineering.

His research interests include smart grids, electricity market operating and planning and residential energy management systems. Particularly, addressing the decision making problems under uncertainties, while considering the integration of renewable energy sources and energy storage systems into the smart grids and distribution networks.

In his MSc Thesis, he assessed operating reserves as one type of ancillary services in simultaneous clearing of energy and reserve markets. Besides, the uncertainties of wind power generation, electrical load, and power system agents are considered in his study. He developed a new method to allocate the reserve costs between market agents based on their stochastic behavior. Finally, the results of his thesis were published in two JCR papers. While carrying out his research, he learned to develop and solve optimization problems in GAMS software. He also used the MATLAB software to apply intelligent methods for electricity market price and wind power generation forecasting. As a result of his research, one JCR paper and two conference papers were published on the topic of forecasting different electricity market variables.

Recently, he has been developing a new interval optimization method in the problem of residential energy management. In his proposed model, renewable energy sources (RESs) include solar panels and micro wind turbines. Moreover, energy storage systems (ESSs) consisting of Electric Vehicles (EVs) and batteries. Also, residential heating loads consisting of space heaters and water heaters. As well as pool pumps and other must-run services. The main duty of these RESs is to supply the desired residential electrical demands, and sell their power generation to the electricity market based on the aims of the smart home owner. Also, an innovative interval optimization method is introduced in this model. It can consider the uncertainty of RESs´ power generation to solve the problem of residential energy management and decrease the computational burden.

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Posted by Juan M. Corchado

Juan Manuel Corchado (15 May 1971, Salamanca, Spain) is Professor at the University of Salamanca. He has been Vice-Rector for Research from 2013 to 2017 and Director of the Science Park of the University of Salamanca. Elected as Dean of the Faculty of Science twice, he holds a PhD in Computer Science from the University of Salamanca and a PhD in Artificial Intelligence from the University of the West of Scotland. He leads the renowned BISITE (Bioinformatics, Intelligent Systems and Educational Technology) Research Group, created in 2000. Director of the IoT Digital Innovation Hub and President of the AIR Institute, J. M. Corchado is also Visiting Professor at the Osaka Institute of Technology since January 2015, Visiting Professor at the Universiti Malaysia Kelantan and Member of the Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado has been president of the IEEE Systems, Man and Cybernetics Society, and academic coordinator of the University Institute for Research in Art and Animation Technology at the University of Salamanca, as well as researcher at the Universities of Paisley (UK), Vigo (Spain) and the Plymouth Marine Laboratory (UK). He currently combines all his activity with the direction of Master programmes in Security, Digital Animation, Mobile Telephony, Information Systems Management, Internet of Things, Social Media, 3D Design and Printing, Blockchain, Z System, Industry 4.0, Agile Project Management, and Smart Cities & Intelligent Buildings, at the University of Salamanca and his work as editor-in-chief of the journals ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) or Electronics MDPI (Computer Science & Engineering section). J. M. Corchado mainly works on projects related to Artificial Intelligence, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids and Sentiment Analysis. He has recently been included in the board of trustees of the AstraZeneca Foundation, along with other health professionals and researchers recognised for bringing scientific knowledge closer to society.

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