Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Nazari, Masoud"'
This paper introduces an advanced stochastic hybrid system modeling framework for modern power systems (MPS) to identify, classify, and evaluate hidden contingencies, which cannot be detected by normal observation sensors. The stochastic hybrid syste
Externí odkaz:
http://arxiv.org/abs/2407.21219
This paper presents a deep learning-based approach for hourly power outage probability prediction within census tracts encompassing a utility company's service territory. Two distinct deep learning models, conditional Multi-Layer Perceptron (MLP) and
Externí odkaz:
http://arxiv.org/abs/2404.03115
Autor:
Nazari, Masoud H., Biswas, Antar Kumar
This paper introduces peer to peer (P2P) trading mechanisms based on decentralized Blockchain to facilitate retail electricity market for ever-increasing distributed energy resources (DERs). The Blockchain network supports fast and secure retail trad
Externí odkaz:
http://arxiv.org/abs/2403.06112
The evolving landscape of electric power networks, influenced by the integration of distributed energy resources require the development of novel power system monitoring and control architectures. This paper develops algorithm to monitor and detect a
Externí odkaz:
http://arxiv.org/abs/2402.07884
This paper introduces a new stochastic hybrid system (SHS) framework for contingency detection in modern power systems (MPS). The framework uses stochastic hybrid system representations in state space models to expand and facilitate capability of con
Externí odkaz:
http://arxiv.org/abs/2402.01547
This paper introduces a stochastic hybrid system (SHS) framework in state space model to capture sensor, communication, and system contingencies in modern power systems (MPS). Within this new framework, the paper concentrates on the development of st
Externí odkaz:
http://arxiv.org/abs/2401.16568
Autor:
Nazari, Masoud
This work describes a fully analog ECG motion artifacts (MAs) and baseline wander elimination circuit that can be incorporated in the analog sensor frontend. In the proposed method, the R-peaks, as useful components of ECG signals, are detected by a
Publikováno v:
In Nonlinear Analysis: Hybrid Systems August 2024 53
The power system needs more transmission capacity to deal with the increasing integration of renewable energy resources. The battery energy storage systems (BESSs) are effective to enhance the grid capacity and relieve the transmission congestion. A
Externí odkaz:
http://arxiv.org/abs/2001.01771
Publikováno v:
In International Journal of Electrical Power and Energy Systems October 2023 152