Fany Nan : Citation Profile

Are you Fany Nan?

European Commission

3

H index

3

i10 index

153

Citations

RESEARCH PRODUCTION:

3

Articles

2

Papers

RESEARCH ACTIVITY:

   6 years (2013 - 2019). See details.
   Cites by year: 25
   Journals where Fany Nan has often published
   Relations with other researchers
   Recent citing documents: 12.    Total self citations: 4 (2.55 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pna594
   Updated: 2024-11-08    RAS profile: 2023-03-16    
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Relations with other researchers

Works with:

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 (62)

Marcjasz, Grzegorz (23)

Nowotarski, Jakub (22)

Uniejewski, Bartosz (14)

Grossi, Luigi (7)

Maciejowska, Katarzyna (6)

Afanasyev, Dmitriy (4)

Trueck, Stefan (4)

Fouquau, Julien (3)

Pelagatti, Matteo (3)

Zator, Michał (3)

Cites to:

Weron, Rafał (48)

Lunde, Asger (16)

Nason, James (16)

Hansen, Peter (16)

Janczura, Joanna (15)

Trueck, Stefan (13)

Nowotarski, Jakub (12)

Haldrup, Niels (9)

Cartea, Álvaro (9)

Misiorek, Adam (8)

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 (2024 and 2023)

YearTitle of citing document
2024Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices. (2023). Ziel, Florian ; Berrisch, Jonathan. In: Papers. RePEc:arx:papers:2303.10019.

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2023A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modelling. (2023). Musgens, Felix ; Grothe, Oliver ; Mobius, Thomas ; Watermeyer, Mira. In: Papers. RePEc:arx:papers:2304.09336.

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2023Distributional neural networks for electricity price forecasting. (2023). Weron, Rafał ; Ziel, Florian ; Narajewski, Micha ; Marcjasz, Grzegorz. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003419.

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2024Do ESG ETFs provide downside risk protection during Covid-19? Evidence from forecast combination models. (2024). Huang, Yujun. In: International Review of Financial Analysis. RePEc:eee:finana:v:94:y:2024:i:c:s1057521924002527.

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2023Forecasting electricity prices with expert, linear, and nonlinear models. (2023). Ravazzolo, Francesco ; del Grosso, Filippo ; Gianfreda, Angelica ; Bille, Anna Gloria. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:570-586.

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2023Analysis of hourly price granularity implementation in the Brazilian deregulated electricity contracting environment. (2023). Pereira, Benvindo Rodrigues ; Lage, Guilherme Guimares ; Faria, Wandry Rodrigues ; Leite, Ciniro Aparecido. In: Utilities Policy. RePEc:eee:juipol:v:81:y:2023:i:c:s0957178723000255.

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2023Edge-Based Short-Term Energy Demand Prediction. (2023). Papageorgiou, Elpiniki I ; Lekidis, Alexios. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:14:p:5435-:d:1196042.

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2023Forecasting Day-Ahead Electricity Prices for the Italian Electricity Market Using a New Decomposition—Combination Technique. (2023). Lopez-Gonzales, Javier Linkolk ; Rodrigues, Paulo Canas ; Turpo-Chaparro, Josue E ; Iftikhar, Hasnain. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:18:p:6669-:d:1241859.

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2023An Intra-Day Electricity Price Forecasting Based on a Probabilistic Transformer Neural Network Architecture. (2023). Celeita, David ; Lopez-Sotelo, Jesus ; Moreno-Chuquen, Ricardo ; Cantillo-Luna, Sergio. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:19:p:6767-:d:1245577.

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2023Identifying Risk Factors and Their Premia: A Study on Electricity Prices*. (2023). Lunde, Asger ; Wei, Wei. In: Journal of Financial Econometrics. RePEc:oup:jfinec:v:21:y:2023:i:5:p:1647-1679..

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Works by Fany Nan:

YearTitleTypeCited
2013Combining day-ahead forecasts for British electricity prices In: Energy Economics.
[Full Text][Citation analysis]		article99
2014Component estimation for electricity prices: Procedures and comparisons In: Energy Economics.
[Full Text][Citation analysis]		article34
2019Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources In: Technological Forecasting and Social Change.
[Full Text][Citation analysis]		article20
2018The influence of renewables on electricity price forecasting: a robust approach In: Working Papers.
[Full Text][Citation analysis]		paper0
2017Forecasting electricity prices through robust nonlinear models In: Working Papers.
[Full Text][Citation analysis]		paper0

CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated November, 3 2024. Contact: CitEc Team