Carlo Lucheroni

University of Camerino

School of Sciences and Technologies

via Madonna delle Carceri 9

Camerino (MC), 62032

Italy

SCHOLARLY PAPERS

7

DOWNLOADS

437

TOTAL CITATIONS

6

Scholarly Papers (7)

1.

Stochastic Models for Spikes and Antispikes in Electricity Prices

Number of pages: 12 Posted: 18 May 2011
Carlo Lucheroni
University of Camerino
Downloads 125 (465,462)
Citation 1

Abstract:

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Stochastic processes, time series analysis, power system

2.

A Resonating Model for the Power Market and its Calibration

Number of pages: 4 Posted: 24 May 2011
Carlo Lucheroni
University of Camerino
Downloads 71 (670,933)
Citation 3

Abstract:

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stochastic processes, time series analysis, power markets

3.

A Hybrid SETARX Model for Spikes in Electricity Prices and its Calibration

Number of pages: 11 Posted: 12 May 2011
Carlo Lucheroni
University of Camerino
Downloads 66 (696,604)
Citation 1

Abstract:

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Stochastic processes, time series analysis, power system

4.

Resonating Models for the Electric Power Market

Number of pages: 14 Posted: 23 May 2011
Carlo Lucheroni
University of Camerino
Downloads 56 (754,318)
Citation 1

Abstract:

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Stochastic Processes, Power Markets

5.

Stochastic Models of Resonating Markets

Number of pages: 16 Posted: 24 May 2011
Carlo Lucheroni
University of Camerino
Downloads 55 (760,553)

Abstract:

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Stochastic processes, Power markets, Seasonality, Mean-reversion

6.

Tarx Models for Spikes and Antispikes in Electricity Markets

Number of pages: 6 Posted: 26 May 2011
Carlo Lucheroni
University of Camerino
Downloads 49 (800,913)

Abstract:

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stochastic processes, time series analysis, power system economics

7.

Demand and Supply Curve Forecasting using a Monotonic Autoencoder for Short-Term Day-Ahead Electricity Market Bid Curves

Number of pages: 46 Posted: 10 Jan 2025
Nabangshu Sinha and Carlo Lucheroni
University of Camerino and University of Camerino
Downloads 15 (1,137,319)

Abstract:

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day ahead electricity market, short term forecasting, demand and supply curves, autoencoders, machine learning