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Ali Esmaeel Nezhad
Researcher at Lappeenranta University of Technology
Publications - Â 4
Citations - Â 184
Ali Esmaeel Nezhad is an academic researcher from Lappeenranta University of Technology. The author has contributed to research in topics: Computer science & Photovoltaic system. The author has an hindex of 1, co-authored 4 publications receiving 10 citations.
Papers
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Journal ArticleDOI
Self-scheduling model for home energy management systems considering the end-users discomfort index within price-based demand response programs
Mohammad Sadegh Javadi,Ali Esmaeel Nezhad,Pedro H. J. Nardelli,Matthew Gough,Mohamed Lotfi,Sergio F. Santos,Joao P. S. Catalao +6 more
TL;DR: Simulation results show that the self-scheduling approach proposed in this paper yields significant reductions in the electricity bills for different electricity tariffs.
Journal ArticleDOI
Transactive energy framework in multi-carrier energy hubs: A fully decentralized model
Jan Lust,Mohammad Sadegh Javadi,Ali Esmaeel Nezhad,Ahmad Rezaee Jordehi,Matthew Gough,Sergio F. Santos,Joao P. S. Catalao +6 more
TL;DR: The obtained results confirm that the coordinated model can efficiently handle the P2P transactive energy trading for different energy hubs, addressing the minimum data exchange issue, and achieving the least-cost operation of the energy hubs in the system.
Journal ArticleDOI
Home energy management system for smart buildings with inverter-based air conditioning system
TL;DR: A new model for the self-scheduling problem using a home energy management system (HEMS), considering the presence of solar photovoltaic panels and an air conditioner, which can effectively reduce the energy consumption and consequently, will result in reduced bills.
Proceedings ArticleDOI
Stochastic Distribution Network Operation for Transactive Energy Markets
Erik Erudiel Santos-Gonzalez,Guillermo Gutierrez-Alcaraz,Ali Esmaeel Nezhad,Mohammad Sadegh Javadi,Gerardo J. Osorio,Joao P. S. Catalao +5 more
TL;DR: In this article, a stochastic optimization model is developed for optimal operation of the active distribution networks in the presence of active consumers, local photovoltaic power generation units and storage devices.