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Electricity price
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International journal of forecasting
Energy economics
475
The energy journal
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Journal of regulatory economics
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Cambridge working papers in economics
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EPRG working paper
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NBER working paper series
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Zeitschrift für Energiewirtschaft : ZfE
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Energiewirtschaftliche Tagesfragen : et ; Zeitschrift für Energiewirtschaft, Recht, Technik und Umwelt
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IFN working paper
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Working paper / University of Alberta, Faculty of Arts, Department of Economics
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International journal of energy sector management : IJESM
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Utilities policy : governance, performance, analysis
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The journal of energy markets
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Wirtschaftsdienst
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ECONIS (ZBW)
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1
Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions
Ghelasi, Paul
;
Ziel, Florian
- In:
International journal of forecasting
40
(
2024
)
2
,
pp. 581-596
Persistent link: https://www.econbiz.de/10014547184
Saved in:
2
Forecasting day-ahead electricity prices with spatial dependence
Yang, Yifan
;
Guo, Ju'e
;
Li, Yi
;
Zhou, Jiandong
- In:
International journal of forecasting
40
(
2024
)
3
,
pp. 1255-1270
Persistent link: https://www.econbiz.de/10014547277
Saved in:
3
Forecasting electricity prices with expert, linear, and nonlinear models
Billé, Anna Gloria
;
Gianfreda, Angelica
;
Del Grosso, …
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 570-586
Persistent link: https://www.econbiz.de/10014465069
Saved in:
4
Neural basis expansion analysis with exogenous variables : forecasting electricity prices with NBEATSx
Olivares, Kin G.
;
Challu, Cristian
;
Marcjasz, Grzegorz
; …
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 884-900
Persistent link: https://www.econbiz.de/10014465161
Saved in:
5
Forecasting electricity prices using bid data
Ciarreta, Aitor
;
Martínez, Blanca
;
Nasirov, Shahriyar
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1253-1271
Persistent link: https://www.econbiz.de/10014465268
Saved in:
6
LASSO principal component averaging : a fully automated approach for point forecast pooling
Uniejewski, Bartosz
;
Maciejowska, Katarzyna
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1839-1852
Persistent link: https://www.econbiz.de/10014465359
Saved in:
7
Estimation of a dynamic multi-level factor model with possible long-range dependence
Ergemen, Yunus Emre
;
Rodríguez-Caballero, Carlos Vladimir
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 405-430
Persistent link: https://www.econbiz.de/10014462789
Saved in:
8
Conformal prediction interval estimation and applications to day-ahead and intraday power markets
Kath, Christopher
;
Ziel, Florian
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 777-799
Persistent link: https://www.econbiz.de/10012792869
Saved in:
9
Evaluating quantile-bounded and expectile-bounded interval forecasts
Taylor, James W.
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 800-811
Persistent link: https://www.econbiz.de/10012792870
Saved in:
10
Probabilistic forecasting in day-ahead electricity markets : simulating peak and off-peak prices
Muniain, Peru
;
Ziel, Florian
- In:
International journal of forecasting
36
(
2020
)
4
,
pp. 1193-1210
Persistent link: https://www.econbiz.de/10012546078
Saved in:
11
Probabilistic electricity price forecasting with NARX networks : combine point or probabilistic forecasts?
Marcjasz, Grzegorz
;
Uniejewski, Bartosz
;
Weron, Rafał
- In:
International journal of forecasting
36
(
2020
)
2
,
pp. 466-479
Persistent link: https://www.econbiz.de/10012415156
Saved in:
12
Comparing the forecasting performances of linear models for electricity prices with high RES penetration
Gianfreda, Angelica
;
Ravazzolo, Francesco
;
Rossini, Luca
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 974-986
Persistent link: https://www.econbiz.de/10012497125
Saved in:
13
On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks
Marcjasz, Grzegorz
;
Uniejewski, Bartosz
;
Weron, Rafał
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1520-1532
Persistent link: https://www.econbiz.de/10012305383
Saved in:
14
Understanding intraday electricity markets : variable selection and very short-term price forecasting using LASSO
Uniejewski, Bartosz
;
Marcjasz, Grzegorz
;
Weron, Rafał
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1533-1547
Persistent link: https://www.econbiz.de/10012305384
Saved in:
15
Probabilistic energy forecasting : Global Energy Forecasting Competition 2014 and beyond
Hong, Tao
;
Pinson, Pierre
;
Fan, Shu
;
Zareipour, Hamidreza
; …
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 896-913
Persistent link: https://www.econbiz.de/10011621881
Saved in:
16
Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging
Maciejowska, Katarzyna
;
Nowotarski, Jakub
;
Weron, Rafał
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 957-965
Persistent link: https://www.econbiz.de/10011621909
Saved in:
17
Probabilistic forecasting of hourly electricity prices in the medium-term using spatial interpolation techniques
Bello, Antonio
;
Reneses, Javier
;
Muñoz, Antonio
; …
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 966-980
Persistent link: https://www.econbiz.de/10011621911
Saved in:
18
Additive models and robust aggregation for GEFCom2014 probabilistic electric load and electricity price forecasting
Gaillard, Pierre
;
Goude, Yannig
;
Nedellec, Raphaël
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 1038-1050
Persistent link: https://www.econbiz.de/10011621991
Saved in:
19
A hybrid model for GEFCom2014 probabilistic electricity price forecasting
Maciejowska, Katarzyna
;
Nowotarski, Jakub
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 1051-1056
Persistent link: https://www.econbiz.de/10011621992
Saved in:
20
Multilayer perceptron for GEFCom2014 probabilistic electricity price forecasting
Dudek, Grzegorz
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 1057-1060
Persistent link: https://www.econbiz.de/10011621994
Saved in:
21
Electricity price forecasting : a review of the state-of-the-art with a look into the future
Weron, Rafał
- In:
International journal of forecasting
30
(
2014
)
4
,
pp. 1030-1081
Persistent link: https://www.econbiz.de/10010517770
Saved in:
22
Forecasting spikes in electricity prices
Christensen, T. M.
;
Hurn, Stan
;
Lindsay, A, S.
- In:
International journal of forecasting
28
(
2012
)
2
,
pp. 400-411
Persistent link: https://www.econbiz.de/10009582612
Saved in:
23
Bayesian density forecasting of intraday electricity prices using multivariate skew t distributions
Panagiotelis, Anastasios
;
Smith, Michael
- In:
International journal of forecasting
24
(
2008
)
4
,
pp. 710-727
Persistent link: https://www.econbiz.de/10003808377
Saved in:
24
A new approach to characterizing and forecasting electricity price volatility
Kam Fong Chan
;
Gray, Philip K.
;
Campen, Bart van
- In:
International journal of forecasting
24
(
2008
)
4
,
pp. 728-743
Persistent link: https://www.econbiz.de/10003808380
Saved in:
25
Forecasting spot electricity prices : a comparison of parametric and semiparametric time series models
Weron, Rafał
;
Misiorek, Adam
- In:
International journal of forecasting
24
(
2008
)
4
,
pp. 744-763
Persistent link: https://www.econbiz.de/10003808387
Saved in:
26
Forecasting electricity prices : the impact of fundamentals and time-varying coefficients
Karakatsani, Nektaria V.
;
Bunn, Derek W.
- In:
International journal of forecasting
24
(
2008
)
4
,
pp. 764-785
Persistent link: https://www.econbiz.de/10003808390
Saved in:
27
Using extreme value theory to measure value-at-risk for daily electricity spot prices
Kam Fong Chan
;
Gray, Philip K.
- In:
International journal of forecasting
22
(
2006
)
2
,
pp. 283-300
Persistent link: https://www.econbiz.de/10003315660
Saved in:
28
Forecasting electricity prices for a day-ahead pool-based electric energy market
Conejo, Antonio J.
;
Contreras, Javier
;
Espínola, Rosa
; …
- In:
International journal of forecasting
21
(
2005
)
3
,
pp. 435-462
Persistent link: https://www.econbiz.de/10003005909
Saved in:
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