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Pierluigi Mancarella

Researcher at University of Melbourne

Publications -  322
Citations -  14581

Pierluigi Mancarella is an academic researcher from University of Melbourne. The author has contributed to research in topics: Demand response & Electric power system. The author has an hindex of 51, co-authored 303 publications receiving 10667 citations. Previous affiliations of Pierluigi Mancarella include University of Manchester & Polytechnic University of Turin.

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Integrated Dispatch Model for Combined Heat and Power Plant With Phase-Change Thermal Energy Storage Considering Heat Transfer Process

TL;DR: In this paper, the authors considered the heat transfer process for the phase-change TES device installed in a combined heat and power (CHP) plant based on the steam's three-stage heat transfer model and the entransy dissipation-based thermal resistance theory.
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Spatial Risk Analysis of Power Systems Resilience During Extreme Events

TL;DR: An online spatial risk analysis capable of providing an indication of the evolving risk of power systems regions subject to extreme events is proposed and embedded in a sequential Monte Carlo simulation for capturing the spatiotemporal effects of extreme events and evaluating the effectiveness of the proposed method.
Proceedings ArticleDOI

A Short-term Load Forecasting Model for Demand Response Applications

TL;DR: In this paper, a feed-forward artificial neural network (ANN) is used for short-term load prediction for disaggregated sites to optimize the demand response process when the data relating to the operating regime or load characteristics of the individual devices and loads connected are unavailable.
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Risk and Resilience Assessment With Component Criticality Ranking of Electric Power Systems Subject to Earthquakes

TL;DR: Why an integrated assessment, which incorporates sources of uncertainty and manages the time-dependency of the recovery process (resilience), should be used to assess the impact of seismic events on electric power systems, and how retrofit of selective components can notably improve the resilience of the complete system to seismic events.
Journal ArticleDOI

Fast Frequency Response From Utility-Scale Hydrogen Electrolyzers

TL;DR: In this article, the authors introduce the modelling foundations to study the fast frequency response (FFR) from utility-scale hydrogen electrolyzers (HEs) and propose a dynamic model of the HE electrolysis stack, power-electronics interface, and downstream hydrogen process operational constraints, which is suitable for system-level frequency dynamics studies.