ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1402.7027
  4. Cited By
Efficient Modeling and Forecasting of the Electricity Spot Price

Efficient Modeling and Forecasting of the Electricity Spot Price

27 February 2014
F. Ziel
R. Steinert
S. Husmann
ArXivPDFHTML

Papers citing "Efficient Modeling and Forecasting of the Electricity Spot Price"

9 / 9 papers shown
Title
Simulation-based Forecasting for Intraday Power Markets: Modelling
  Fundamental Drivers for Location, Shape and Scale of the Price Distribution
Simulation-based Forecasting for Intraday Power Markets: Modelling Fundamental Drivers for Location, Shape and Scale of the Price Distribution
Simon Hirsch
F. Ziel
9
6
0
23 Nov 2022
Forecasting Electricity Prices
Forecasting Electricity Prices
K. Maciejowska
Bartosz Uniejewski
R. Weron
AI4TS
18
0
0
25 Apr 2022
Forecasting day-ahead electricity prices: A review of state-of-the-art
  algorithms, best practices and an open-access benchmark
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
J. Lago
Grzegorz Marcjasz
B. de Schutter
R. Weron
AI4TS
11
299
0
18 Aug 2020
Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with
  Lasso
Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with Lasso
Jens Kley-Holsteg
F. Ziel
AI4TS
13
7
0
09 May 2020
Day-ahead electricity price forecasting with high-dimensional
  structures: Univariate vs. multivariate modeling frameworks
Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks
F. Ziel
R. Weron
AI4TS
15
184
0
17 May 2018
Forecasting wind power - Modeling periodic and non-linear effects under
  conditional heteroscedasticity
Forecasting wind power - Modeling periodic and non-linear effects under conditional heteroscedasticity
F. Ziel
Carsten Croonenbroeck
D. Ambach
16
78
0
02 Jun 2016
Lasso estimation for GEFCom2014 probabilistic electric load forecasting
Lasso estimation for GEFCom2014 probabilistic electric load forecasting
F. Ziel
Bidong Liu
21
72
0
04 Mar 2016
A Sparse Linear Model and Significance Test for Individual Consumption
  Prediction
A Sparse Linear Model and Significance Test for Individual Consumption Prediction
P. Li
Baosen Zhang
Yang Weng
Ram Rajagopal
16
40
0
05 Nov 2015
Iteratively reweighted adaptive lasso for conditional heteroscedastic
  time series with applications to AR-ARCH type processes
Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR-ARCH type processes
F. Ziel
AI4TS
37
27
0
23 Feb 2015
1