Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark

18 August 2020

Papers citing "Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark"

42 / 42 papers shown

Title
Foundation Models for Time Series: A Survey Siva Rama Krishna Kottapalli Karthik Hubli Sandeep Chandrashekhara Garima Jain Sunayana Hubli Gayathri Botla Ramesh Doddaiah AI4TS AI4CE 45 0 0 05 Apr 2025
Online Multivariate Regularized Distributional Regression for High-dimensional Probabilistic Electricity Price Forecasting Simon Hirsch 49 0 0 03 Apr 2025
CITRAS: Covariate-Informed Transformer for Time Series Forecasting Yosuke Yamaguchi Issei Suemitsu Wenpeng Wei AI4TS 48 0 0 31 Mar 2025
Goal2Story: A Multi-Agent Fleet based on Privately Enabled sLLMs for Impacting Mapping on Requirements Elicitation X. Zou Yan Liu X. Shi Chen Yang 46 0 0 17 Mar 2025
Anomaly Detection in California Electricity Price Forecasting: Enhancing Accuracy and Reliability Using Principal Component Analysis Joseph Nyangon Ruth Akintunde 61 10 0 25 Nov 2024
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods Alexandru-Victor Andrei Georg Velev Filip-Mihai Toma Daniel Traian Pele Stefan Lessmann AI4TS 49 1 0 05 Nov 2024
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting Yong Liu Guo Qin Xiangdong Huang Jianmin Wang Mingsheng Long AI4TS 36 7 0 07 Oct 2024
Metadata Matters for Time Series: Informative Forecasting with Transformers Jiaxiang Dong Haixu Wu Yuxuan Wang Li Zhang Jianmin Wang Mingsheng Long AI4TS 29 0 0 04 Oct 2024
Forecasting Day-Ahead Electricity Prices in the Integrated Single Electricity Market: Addressing Volatility with Comparative Machine Learning Methods Ben Harkin Xueqin Liu 21 0 0 10 Aug 2024
Probabilistic energy forecasting through quantile regression in reproducing kernel Hilbert spaces Luca Pernigo Rohan Sen Davide Baroli 24 0 0 08 Aug 2024
Online Distributional Regression Simon Hirsch Jonathan Berrisch F. Ziel 34 1 0 26 Jun 2024
YUI: Day-ahead Electricity Price Forecasting Using Invariance Simplified Supply and Demand Curve Linian Wang Anlan Yu Jianghong Liu Huibin Zhang Leye Wang 42 0 0 20 May 2024
ReModels: Quantile Regression Averaging models Grzegorz Zakrzewski Kacper Skonieczka Mikolaj Malkiñski Jacek Mańdziuk 19 0 0 18 May 2024
Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation Antonio Malpica-Morales M. Durán-Olivencia S. Kalliadasis AI4TS 26 1 0 12 May 2024
Energy Storage Arbitrage in Two-settlement Markets: A Transformer-Based Approach Saud Alghumayjan Jiajun Han Ningkun Zheng Ming Yi Bolun Xu 38 1 0 26 Apr 2024
On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices A. Brusaferri A. Ballarino Luigi Grossi F. Laurini AI4TS 34 3 0 03 Apr 2024
Postprocessing of point predictions for probabilistic forecasting of electricity prices: Diversity matters Arkadiusz Lipiecki Bartosz Uniejewski R. Weron 37 5 0 02 Apr 2024
A Transformer approach for Electricity Price Forecasting Oscar Llorente Jose Portela 26 0 0 24 Mar 2024
Electricity Price Forecasting in the Irish Balancing Market Ciaran O'Connor Joseph Collins Steven D. Prestwich Andrea Visentin 23 8 0 09 Feb 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects Florian Bley Sebastian Lapuschkin Wojciech Samek G. Montavon 35 3 0 30 Jan 2024
Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows Hannes Hilger D. Witthaut Manuel Dahmen L. R. Gorjão Julius Trebbien Eike Cramer 30 5 0 23 Nov 2023
A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market Cameron Cornell Nam Trong Dinh S. A. Pourmousavi 13 15 0 13 Nov 2023
An adaptive standardisation methodology for Day-Ahead electricity price forecasting Carlos Sebastián Carlos E. González-Guillén Jesús Juan AI4TS 21 0 0 05 Nov 2023
Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs Julius Trebbien Sebastian Pütz B. Schäfer Heidi S. Nygård L. R. Gorjão D. Witthaut AI4TS 17 4 0 05 Oct 2023
Learning for Interval Prediction of Electricity Demand: A Cluster-based Bootstrapping Approach Rohit Dube Natarajan Gautam Amarnath Banerjee Harsha Nagarajan 18 0 0 04 Sep 2023
Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding? W. Nitka R. Weron 21 11 0 29 Aug 2023
A feature selection method based on Shapley values robust to concept shift in regression Carlos Sebastián Carlos E. González-Guillén 29 6 0 28 Apr 2023
Understanding electricity prices beyond the merit order principle using explainable AI Julius Trebbien L. R. Gorjão Aaron Praktiknjo B. Schäfer D. Witthaut 21 25 0 09 Dec 2022
Distributional neural networks for electricity price forecasting Grzegorz Marcjasz Michał Narajewski R. Weron F. Ziel 50 52 0 06 Jul 2022
Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows Eike Cramer D. Witthaut Alexander Mitsos Manuel Dahmen 32 29 0 27 May 2022
Probabilistic forecasting of German electricity imbalance prices Michał Narajewski 39 20 0 23 May 2022
Forecasting Electricity Prices K. Maciejowska Bartosz Uniejewski R. Weron AI4TS 18 0 0 25 Apr 2022
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study Grzegorz Dudek Slawek Smyl Paweł Pełka AI4TS 26 1 0 17 Mar 2022
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks Jonathan Berrisch Michał Narajewski F. Ziel 21 6 0 07 Mar 2022
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting Slawek Smyl Grzegorz Dudek Paweł Pełka AI4TS 21 11 0 02 Mar 2022
Adaptive Conformal Predictions for Time Series Margaux Zaffran Aymeric Dieuleveut Olivier Féron Y. Goude Julie Josse AI4TS 44 129 0 15 Feb 2022
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting Slawek Smyl Grzegorz Dudek Paweł Pełka AI4TS 19 26 0 05 Dec 2021
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting Grzegorz Dudek Paweł Pełka AI4TS 17 1 0 08 Jul 2021
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting Cristian Challu Kin G. Olivares Gus Welter A. Dubrawski AI4TS 33 1 0 07 Jun 2021
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx Kin G. Olivares Cristian Challu Grzegorz Marcjasz R. Weron A. Dubrawski AI4TS 33 133 0 12 Apr 2021
Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs Grzegorz Marcjasz J. Lago R. Weron 19 5 0 18 Aug 2020
Transfer Learning for Electricity Price Forecasting Salih Gündüz Umut Ugurlu Ilkay Oksuz AI4TS 16 23 0 05 Jul 2020