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Giambattista Gruosso

Docenti di ruolo di IIa fascia

Politecnico di Milano

Research Interests

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Articles (20)

Collaborators (7)

Hani Vahedi

Delft University of Technology

Zahid Ullah

Politecnico di Milano

Mohsen Zeynivand

Politecnico di Milano

Zeinab Kermansaravi

Senior Researcher

The Hague University of Applied Sciences

Peter Palensky

Professor at Delft University of Technology

Delft University of Technology

Pedro Vergara

Delft University of Technology

Fredy Ruiz

Associate Professor

Politecnico di Milano

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Giambattista Gruosso

Research Interests

Make your next move.

Explore related searches

Articles (20)

Collaborators (7)

Hani Vahedi

Zahid Ullah

Mohsen Zeynivand

Zeinab Kermansaravi

Peter Palensky

Pedro Vergara

Fredy Ruiz

Make your next move.

Giambattista Gruosso

Research Interests

Make your next move.

Explore related searches

Articles (20)

Open source algorithms for maximizing V2G flexibility based on model predictive control

Resilience-Oriented Predictive Energy Management and Route Adaptation for Long-Distance Electric Vehicles Under Charging Infrastructure and Road Network Uncertainties

AI Tools for Energy Management: Revolutionising Smart Grids, Microgrids, Homes and Renewables

Big Data‐Driven Rainbow DNN for Optimising Bidirectional Vehicle‐to‐Building and Building‐to‐Vehicle Energy Flows in Smart Grids

Impact Assessment of Different Passive Retrofit Strategies on the Indoor Air Temperature in a Residential Building

Digital Twin Synthetic Dataset for Bearing Fault Diagnosis in Industrial Spindles

Physics-Guided Residual Learning for Battery Modeling Across Held-Out Routes of a Single Electric Vehicle Using BMS Signals

Short-term PV power forecasting under real-world data constraints: a benchmark study of neural networks with uncertainty quantification

The IEEE Transportation Electrification Council: A brief history and future outlook [History]

Nonlinear Power Injection Sensitivity Analysis in Power Systems: An Effective Strategy for Distributed Source Allocation

Dynamic Modelling of Building Thermostatically Controlled Loads as a Stochastic Battery for Grid Stability in Wind-Integrated Power Systems

Enhancing Grid Stability Through Physics-Informed Machine Learning Integrated-Model Predictive Control for Electric Vehicle Disturbance Management

A novel approach to digital twin-based energy efficiency monitoring and failure analysis in industrial applications

Generating Synthetic Data from Real-Time Simulators for Deep Learning Modeling of Machining

Electromagnetic Modeling Framework of Thermal Systems for Real-Time Hardware-in-the-Loop Simulations

Future Smart Grids Control and Optimization: A Reinforcement Learning Tool for Optimal Operation Planning

A benchmark study of optimizers for short-term solar PV power forecasting using neural networks under real-world constraints

AI in Education: A Comparative Study of Intelligent Systems and Their Impacts on Modern Learning Environments

Advancing Sustainable Energy Management in Public Buildings through Digital Twins and Reinforcement Learning

Analysis of a real-time co-simulation framework for smart and secure EV charging infrastructures

Collaborators (7)

Hani Vahedi

Zahid Ullah

Mohsen Zeynivand

Zeinab Kermansaravi

Peter Palensky

Pedro Vergara

Fredy Ruiz

Make your next move.