H
Hamidreza Nazaripouya
Researcher at University of California, Riverside
Publications - 39
Citations - 594
Hamidreza Nazaripouya is an academic researcher from University of California, Riverside. The author has contributed to research in topics: Computer science & Distributed generation. The author has an hindex of 11, co-authored 30 publications receiving 419 citations. Previous affiliations of Hamidreza Nazaripouya include Oklahoma State University–Stillwater & Louisiana State University.
Papers
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Proceedings ArticleDOI
Optimal sizing and placement of battery energy storage in distribution system based on solar size for voltage regulation
TL;DR: In this article, the minimum size and the best place of battery storage is achieved by optimizing the amount of both active and reactive power exchanged by battery storage and its grid-tie inverter based on the network topology and R/X ratios in the distribution system.
Proceedings ArticleDOI
Univariate time series prediction of solar power using a hybrid wavelet-ARMA-NARX prediction method
TL;DR: In this paper, the authors proposed a hybrid method for super short-term solar power prediction, which incorporates discrete wavelet transform (DWT), Auto-Regressive Moving Average (ARMA) models, and Recurrent Neural Networks (RNN), while the RNN architecture is based on Nonlinear Auto-regressive models with eXogenous inputs (NARX).
Journal ArticleDOI
Predictive Scheduling Framework for Electric Vehicles With Uncertainties of User Behaviors
TL;DR: In this paper, a predictive scheduling framework was developed for EVSEs, including a predictive control paradigm and a kernel-based session parameter estimator, where the scheduling service periodically computes for cost-efficient solutions, considering the predicted session parameters, by the adaptive kernelbased estimator with improved estimation accuracies.
Journal ArticleDOI
A Non-Cooperative Framework for Coordinating a Neighborhood of Distributed Prosumers
Armin Ghasem Azar,Hamidreza Nazaripouya,Behnam Khaki,Chi-Cheng Chu,Rajit Gadh,Rune Hylsberg Jacobsen +5 more
TL;DR: An automated negotiation approach is embedded in the framework, which enables the negotiators to reactively negotiate on concurrent power and price using private utility functions and preferences to converge to an acceptable agreement.
Journal ArticleDOI
Battery Energy Storage System Control for Intermittency Smoothing Using an Optimized Two-Stage Filter
TL;DR: In this article, the authors proposed a two-stage digital finite impulse response (FIR) filter solution to compensate solar power intermittency and improve distribution grid power quality by optimizing the size of battery capacity for the desired level of solar power smoothing.