8 citations · 9 across the 5 of their papers we have counts for
5 papers
DeepKoopFormer: A Koopman Enhanced Transformer Based Architecture for Time Series Forecasting
Ali Forootani, Mohammad Khosravi, Masoud Barati
Time series forecasting plays a vital role across scientific, industrial, and environmental domains, especially when dealing with high-dimensional and nonlinear systems. While Tran…
A Global Solution Algorithm for AC Optimal Power Flow through Linear Constrained Quadratic Programming
Masoud Barati
We formulate the Alternating Current Optimal Power Flow Problem (ACOPF) as a Linear Constrained Quadratic Program (LCQP) with many negative eigenvalues () and linear constraints…
Synergizing Machine Learning with ACOPF: A Comprehensive Overview
Meng Zhao, Masoud Barati
Alternative current optimal power flow (ACOPF) problems have been studied for over fifty years, and yet the development of an optimal algorithm to solve them remains a hot and chal…
Enhancing ACPF Analysis: Integrating Newton-Raphson Method with Gradient Descent and Computational Graphs
Masoud Barati
This paper presents a new method for enhancing Alternating Current Power Flow (ACPF) analysis. The method integrates the Newton-Raphson (NR) method with Enhanced-Gradient Descent (…
Tie-Line Characteristics based Partitioning for Distributed Optimization of Power Systems
Ali Mohammadi, Mahdi Mehrtash, Amin Kargarian +1
The convergence performance of distributed optimization algorithms is of significant importance to solve optimal power flow (OPF) in a distributed fashion. In this paper, we aim to…