P. Siano
17 Papers
P. Siano is an academic researcher. The author has contributed to research in topics: Computer science & Smart grid. The author has an hindex of 2, co-authored 11 publications.
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Papers
Incorporation of Blockchain Technology for Different Smart Grid Applications: Architecture, Prospects, and Challenges
TL;DR: In this paper , the authors present a comprehensive overview of the blockchain-enabled smart grid applications, challenges, and solutions for different smart-grid applications, as well as a look back at the tried-and-true methods of securing a power grid.
Robust multi-objective optimization for the Iranian electricity market considering green hydrogen and analyzing the performance of different demand response programs
TL;DR: In this paper , the authors proposed a framework for decision-making in new electricity markets to join future smart energy systems using hydrogen storage (HS) integrated with PV as a distributed energy resource.
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A novel economic dispatch in the stand-alone system using improved butterfly optimization algorithm
Bilal Naji Alhasnawi,Basil H. Jasim,Vladimír Bureš,Bishoy E. Sedhom,Arshad Naji Alhasnawi,Rabeh Abbassi,Majid Razaq Mohamed Alsemawai,P. Siano,Josep M. Guerrero +8 more
TL;DR: This study proposes a novel economic dispatch framework for stand-alone systems using an Improved Butterfly Optimization Algorithm (IBOA), achieving 47% and 26% runtime improvements and 81% and 80% iteration reductions for ToU and CPP tariffs, respectively.
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Review of Cybersecurity Analysis in Smart Distribution Systems and Future Directions for Using Unsupervised Learning Methods for Cyber Detection
TL;DR: In this article , a novel Data Mining (DM) approach based on unsupervised rules for identifying False Data Injection Cyber Attacks (FDIA) in smart grids using Phasor Measurement Unit (PMU) data.
Co‐planning of generation and transmission expansion planning for network resiliency improvement against extreme weather conditions and uncertainty of resiliency sources
Abbas Zare Ghaleh Seyyedi,Sara Mahmoudi Rashid,Ehsan Akbari,Seyed Ashkan Nejati,Farshad Khalafian,P. Siano +5 more
TL;DR: In this paper , a resilient-constrained generation and transmission expansion planning (RCGTEP) model is proposed to minimize the investment and operation costs of resiliency sources (RSs) and blackout costs arising from the outage of the network against the occurrence of extreme conditions.
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