Fany Nan : Citation Profile


Are you Fany Nan?

European Commission

3

H index

2

i10 index

116

Citations

RESEARCH PRODUCTION:

3

Articles

2

Papers

RESEARCH ACTIVITY:

   6 years (2013 - 2019). See details.
   Cites by year: 19
   Journals where Fany Nan has often published
   Relations with other researchers
   Recent citing documents: 19.    Total self citations: 4 (3.33 %)

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   Permalink: http://citec.repec.org/pna594
   Updated: 2022-01-15    RAS profile: 2021-10-21    
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Relations with other researchers


Works with:

Grossi, Luigi (3)

Authors registered in RePEc who have co-authored more than one work in the last five years with Fany Nan.

Is cited by:

Weron, Rafał (53)

Nowotarski, Jakub (20)

Marcjasz, Grzegorz (18)

Uniejewski, Bartosz (12)

Afanasyev, Dmitriy (4)

Trueck, Stefan (4)

Maciejowska, Katarzyna (4)

Bessec, Marie (3)

Zator, Michał (3)

Meritet, Sophie (2)

Tomczyk, Jakub (2)

Cites to:

Weron, Rafał (43)

Nason, James (16)

Lunde, Asger (16)

Hansen, Peter (16)

Janczura, Joanna (15)

Nowotarski, Jakub (12)

Trueck, Stefan (12)

Haldrup, Niels (9)

Cartea, Álvaro (8)

Lisi, Francesco (7)

Grossi, Luigi (7)

Main data


Where Fany Nan has published?


Journals with more than one article published# docs
Energy Economics2

Recent works citing Fany Nan (2021 and 2020)


YearTitle of citing document
2021Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO. (2021). Weron, Rafał ; Marcjasz, Grzegorz ; Jędrzejewski, Arkadiusz. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2104.

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2020Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. (2020). Weron, Rafał ; Marcjasz, Grzegorz ; de Schutter, Bart ; Lago, Jesus. In: Papers. RePEc:arx:papers:2008.08004.

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2020A robust optimization approach for optimal load dispatch of community energy hub. (2020). Lu, Xinhui ; Feng, Nanping ; Zhou, Kaile ; Wang, Lingfeng ; Ma, LI ; Liu, Zhaoxi . In: Applied Energy. RePEc:eee:appene:v:259:y:2020:i:c:s0306261919318823.

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2020Performance of alternative electricity price forecasting methods: Findings from the Greek and Hungarian power exchanges. (2020). Verbič, Miroslav ; Zori, Jelena ; Haluan, Marko. In: Applied Energy. RePEc:eee:appene:v:277:y:2020:i:c:s0306261920311089.

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2021Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. (2021). Weron, Rafał ; de Schutter, Bart ; Marcjasz, Grzegorz ; Lago, Jesus. In: Applied Energy. RePEc:eee:appene:v:293:y:2021:i:c:s0306261921004529.

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2021The value of carbon emission reduction induced by Renewable Energy Sources in the Italian power market. (2021). Fontini, Fulvio ; Beltrami, Filippo ; Grossi, Luigi. In: Ecological Economics. RePEc:eee:ecolec:v:189:y:2021:i:c:s092180092100207x.

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2021Understanding forecast reconciliation. (2021). Tipping, Michael E ; Petropoulos, Fotios ; Hollyman, Ross. In: European Journal of Operational Research. RePEc:eee:ejores:v:294:y:2021:i:1:p:149-160.

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2020Where did the time (series) go? Estimation of marginal emission factors with autoregressive components. (2020). Giulietti, Monica ; Beltrami, Filippo ; Wilson, Grant ; Rowley, Paul ; Grossi, Luigi ; Burlinson, Andrew. In: Energy Economics. RePEc:eee:eneeco:v:91:y:2020:i:c:s0140988320302450.

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2021Electricity pricing using a periodic GARCH model with conditional skewness and kurtosis components. (2021). Theodossiou, Panayiotis ; Savva, Christos ; Kosmidou, Kyriaki ; Ioannidis, Filippos. In: Energy Economics. RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988321000153.

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2021Regularized quantile regression averaging for probabilistic electricity price forecasting. (2021). Weron, Rafał ; Uniejewski, Bartosz. In: Energy Economics. RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988321000268.

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2020Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach. (2020). Jasiski, Tomasz. In: Energy. RePEc:eee:energy:v:213:y:2020:i:c:s0360544220318910.

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2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:466-479.

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2021Conformal prediction interval estimation and applications to day-ahead and intraday power markets. (2021). Ziel, Florian ; Kath, Christopher. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:777-799.

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2020Point and Interval Forecasting of Zonal Electricity Prices and Demand Using Heteroscedastic Models: The IPEX Case. (2020). Lisi, Francesco ; Bernardi, Mauro. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:23:p:6191-:d:450862.

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2020The Implications of Policy Uncertainty on Solar Photovoltaic Investment. (2020). Byrne, Julie ; Assereto, Martina. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:23:p:6233-:d:451620.

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2021Importance of the Long-Term Seasonal Component in Day-Ahead Electricity Price Forecasting Revisited: Parameter-Rich Models Estimated via the LASSO. (2021). Weron, Rafał ; Marcjasz, Grzegorz ; Jdrzejewski, Arkadiusz. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:11:p:3249-:d:567421.

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2020.

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2020Impacts of subsidized renewable electricity generation on spot market prices in Germany : Evidence from a GARCH model with panel data. (2020). Lemoine, Killian ; Pham, Thao. In: Working Papers. RePEc:hal:wpaper:hal-02568268.

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2021Forecasting Electricity Prices with Expert, Linear and Non-Linear Models. (2021). Ravazzolo, Francesco ; del Grosso, Filippo ; Gianfreda, Angelica ; Bille, Anna Gloria. In: Working Paper series. RePEc:rim:rimwps:21-20.

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Works by Fany Nan:


YearTitleTypeCited
2013Combining day-ahead forecasts for British electricity prices In: Energy Economics.
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article81
2014Component estimation for electricity prices: Procedures and comparisons In: Energy Economics.
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article28
2019Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources In: Technological Forecasting and Social Change.
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article7
2018The influence of renewables on electricity price forecasting: a robust approach In: Working Papers.
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paper0
2017Forecasting electricity prices through robust nonlinear models In: Working Papers.
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paper0

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