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Ali Forootani
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2020 – today
- 2024
- [j14]Ali Forootani, Raffaele Iervolino, Massimo Tipaldi, Silvio Baccari:
A kernel-based approximate dynamic programming approach: Theory and application. Autom. 162: 111517 (2024) - [j13]Ehsan Toghiany Rizi, Mohammad Rastegar
, Ali Forootani
:
Power system flexibility analysis using net-load forecasting based on deep learning considering distributed energy sources and electric vehicles. Comput. Electr. Eng. 117: 109305 (2024) - [j12]Ali Forootani
, Mohammad Rastegar
, Hamidreza Zareipour
:
Transfer Learning-Based Framework Enhanced by Deep Generative Model for Cold-Start Forecasting of Residential EV Charging Behavior. IEEE Trans. Intell. Veh. 9(1): 190-198 (2024) - [i2]Ali Forootani, Peter Benner:
GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations. CoRR abs/2405.08613 (2024) - 2023
- [j11]Ali Forootani, Sara Forootani, Raffaele Iervolino
, Majid Ghaniee Zarch
:
Stochastic dynamic programming solution to transmission scheduling: Multi sensor-multi process with wireless noisy channel. Comput. Electr. Eng. 106: 108573 (2023) - [j10]Ali Forootani, Majid Ghaniee Zarch
, Massimo Tipaldi
, Raffaele Iervolino
:
A stochastic dynamic programming approach for the machine replacement problem. Eng. Appl. Artif. Intell. 118: 105638 (2023) - [j9]Raffaele Iervolino
, Massimo Tipaldi
, Ali Forootani
:
A Lyapunov-based version of the value iteration algorithm formulated as a discrete-time switched affine system. Int. J. Control 96(3): 577-592 (2023) - [i1]Ali Forootani, Pawan Goyal, Peter Benner:
A Robust SINDy Approach by Combining Neural Networks and an Integral Form. CoRR abs/2309.07193 (2023) - 2022
- [j8]Ali Forootani
, Mohammad Rastegar
, Mohammad Jooshaki
:
An Advanced Satisfaction-Based Home Energy Management System Using Deep Reinforcement Learning. IEEE Access 10: 47896-47905 (2022) - [j7]Ali Forootani, Raffaele Iervolino, Massimo Tipaldi, Subhrakanti Dey:
Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming. Autom. 136: 110061 (2022) - [j6]Ali Forootani
, Massimo Tipaldi
, Raffaele Iervolino
, Subhrakanti Dey
:
Enhanced Exploration Least-Squares Methods for Optimal Stopping Problems. IEEE Control. Syst. Lett. 6: 271-276 (2022) - 2021
- [j5]Ali Forootani, Massimo Tipaldi
, Majid Ghaniee Zarch
, Davide Liuzza, Luigi Glielmo
:
Modelling and solving resource allocation problems via a dynamic programming approach. Int. J. Control 94(6): 1544-1555 (2021) - [j4]Ali Forootani
, Davide Liuzza, Massimo Tipaldi
, Luigi Glielmo
:
Allocating resources via price management systems: a dynamic programming-based approach. Int. J. Control 94(8): 2123-2143 (2021) - 2020
- [j3]Ali Forootani, Raffaele Iervolino, Massimo Tipaldi, Joshua Neilson:
Approximate dynamic programming for stochastic resource allocation problems. IEEE CAA J. Autom. Sinica 7(4): 975-990 (2020) - [j2]Ali Forootani, Massimo Tipaldi
, Majid Ghaniee Zarch
, Davide Liuzza, Luigi Glielmo
:
A Least-Squares Temporal Difference based method for solving resource allocation problems. IFAC J. Syst. Control. 13: 100106 (2020)
2010 – 2019
- 2018
- [c1]Ali Forootani, Massimo Tipaldi, Davide Liuzza, Luigi Glielmo
:
Price Management in Resource Allocation Problem with Approximate Dynamic Programming. ECC 2018: 851-856 - 2017
- [j1]Ali Forootani, Ali Akbar Afzalian, Ali Nadian Ghomsheh:
Model-based fault analysis of a high-voltage circuit breaker operating mechanism. Turkish J. Electr. Eng. Comput. Sci. 25: 2349-2362 (2017)
Coauthor Index
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