3
H index
3
i10 index
160
Citations
European Commission | 3 H index 3 i10 index 160 Citations RESEARCH PRODUCTION: 3 Articles 2 Papers RESEARCH ACTIVITY:
MORE DETAILS IN: ABOUT THIS REPORT:
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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: | Cites to: |
Year ![]() | Title of citing document ![]() |
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2024 | Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices. (2023). Ziel, Florian ; Berrisch, Jonathan. In: Papers. RePEc:arx:papers:2303.10019. Full description at Econpapers || Download paper |
2025 | Extrapolating the long-term seasonal component of electricity prices for forecasting in the day-ahead market. (2025). Chke, Katarzyna ; Uniejewski, Bartosz ; Weron, Rafal. In: Papers. RePEc:arx:papers:2503.02518. Full description at Econpapers || Download paper |
2024 | TriChronoNet: Advancing electricity price prediction with Multi-module fusion. (2024). Gu, Weixi ; Jiang, Weiwei ; He, Miao. In: Applied Energy. RePEc:eee:appene:v:371:y:2024:i:c:s0306261924010092. Full description at Econpapers || Download paper |
2024 | Do 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. Full description at Econpapers || Download paper |
2024 | A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market. (2024). Dinh, Nam Trong ; Cornell, Cameron ; Pourmousavi, Ali S. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1421-1437. Full description at Econpapers || Download paper |
2024 | Multivariate probabilistic CRPS learning with an application to day-ahead electricity prices. (2024). Berrisch, Jonathan ; Ziel, Florian. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1568-1586. Full description at Econpapers || Download paper |
2024 | Does a meta-combining method lead to more accurate forecasts in the decision-making process?. (2024). Aras, Serkan ; Gulay, Emrah. In: Operations Research and Decisions. RePEc:wut:journl:v:34:y:2024:i:3:p:101-124:id:6. Full description at Econpapers || Download paper |
Year ![]() | Title ![]() | Type ![]() | Cited ![]() |
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2013 | Combining day-ahead forecasts for British electricity prices In: Energy Economics. [Full Text][Citation analysis] | article | 103 |
2014 | Component estimation for electricity prices: Procedures and comparisons In: Energy Economics. [Full Text][Citation analysis] | article | 36 |
2019 | Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources In: Technological Forecasting and Social Change. [Full Text][Citation analysis] | article | 21 |
2018 | The influence of renewables on electricity price forecasting: a robust approach In: Working Papers. [Full Text][Citation analysis] | paper | 0 |
2017 | Forecasting electricity prices through robust nonlinear models In: Working Papers. [Full Text][Citation analysis] | paper | 0 |
CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated April, 14 2025. Contact: CitEc Team