Fany Nan : Citation Profile


Are you Fany Nan?

European Commission

2

H index

2

i10 index

101

Citations

RESEARCH PRODUCTION:

3

Articles

2

Papers

RESEARCH ACTIVITY:

   6 years (2013 - 2019). See details.
   Cites by year: 16
   Journals where Fany Nan has often published
   Relations with other researchers
   Recent citing documents: 17.    Total self citations: 4 (3.81 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pna594
   Updated: 2020-10-17    RAS profile: 2019-05-06    
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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 (48)

Nowotarski, Jakub (20)

Marcjasz, Grzegorz (14)

Uniejewski, Bartosz (10)

Trueck, Stefan (4)

Afanasyev, Dmitriy (4)

Maciejowska, Katarzyna (4)

Bessec, Marie (3)

Zator, Michał (3)

Serafin, Tomasz (2)

Prokopczuk, Marcel (2)

Cites to:

Weron, Rafał (43)

Nason, James (16)

Hansen, Peter (16)

Lunde, Asger (16)

Janczura, Joanna (15)

Trueck, Stefan (12)

Nowotarski, Jakub (12)

Haldrup, Niels (9)

Cartea, Álvaro (9)

Hansen, Bruce (9)

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 (2020 and 2019)


YearTitle of citing document
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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2019On the impact of outlier filtering on the electricity price forecasting accuracy. (2019). Afanasyev, Dmitriy ; Fedorova, Elena A. In: Applied Energy. RePEc:eee:appene:v:236:y:2019:i:c:p:196-210.

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2019Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices. (2019). Portolani, Pietro ; Matteucci, Matteo ; Brusaferri, Alessandro ; Vitali, Andrea. In: Applied Energy. RePEc:eee:appene:v:250:y:2019:i:c:p:1158-1175.

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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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2019On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting. (2019). Weron, Rafał ; Marcjasz, Grzegorz ; Uniejewski, Bartosz. In: Energy Economics. RePEc:eee:eneeco:v:79:y:2019:i:c:p:171-182.

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2019Carbon pricing and electricity markets — The case of the Australian Clean Energy Bill. (2019). Weron, Rafał ; Truck, Stefan ; Maryniak, Pawe. In: Energy Economics. RePEc:eee:eneeco:v:79:y:2019:i:c:p:45-58.

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2019On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks. (2019). Weron, Rafał ; Marcjasz, Grzegorz ; Uniejewski, Bartosz . In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1520-1532.

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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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2019Optimization of combined time series methods to forecast the demand for coffee in Brazil: A new approach using Normal Boundary Intersection coupled with mixture designs of experiments and rotated fact. (2019). Mello, Luiz Gustavo ; Bacci, Livio Agnew ; Balestrassi, Pedro Paulo ; de Paiva, Anderson Paulo ; Incerti, Taynara. In: International Journal of Production Economics. RePEc:eee:proeco:v:212:y:2019:i:c:p:186-211.

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2019Disentangling the drivers of carbon prices in Chinas ETS pilots — An EEMD approach. (2019). Xu, Jia ; Liu, YU ; He, Gang ; Tan, Xiujie. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:139:y:2019:i:c:p:1-9.

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2019On the Forecast Combination Puzzle. (2019). Yang, Yuhong ; Cheng, Gang ; Rolling, Craig A ; Qian, Wei. In: Econometrics. RePEc:gam:jecnmx:v:7:y:2019:i:3:p:39-:d:265946.

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2019On the Influence of Renewable Energy Sources in Electricity Price Forecasting in the Iberian Market. (2019). Urchueguia, Javier F ; Onaindia, Eva ; Lemus-Zuiga, Lenin G ; Iranzo-Sanchez, Javier ; Aineto, Diego. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:11:p:2082-:d:235959.

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2019Short-Term Electricity Demand Forecasting Using Components Estimation Technique. (2019). Wang, Depeng ; Ali, Sajid ; Iftikhar, Hasnain ; Shah, Ismail. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:13:p:2532-:d:244687.

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2019Short-Term Electricity Price Forecasting with a Composite Fundamental-Econometric Hybrid Methodology. (2019). de Marcos, Rodrigo A ; Reneses, Javier ; Bello, Antonio. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:6:p:1067-:d:215468.

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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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Works by Fany Nan:


YearTitleTypeCited
2013Combining day-ahead forecasts for British electricity prices In: Energy Economics.
[Full Text][Citation analysis]
article74
2014Component estimation for electricity prices: Procedures and comparisons In: Energy Economics.
[Full Text][Citation analysis]
article25
2019Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources In: Technological Forecasting and Social Change.
[Full Text][Citation analysis]
article2
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.
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paper0

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