Electricity Price Forecasting

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  1. A Human-in-the-Loop Autonomous Agent for Industry Time Series Forecasting

    Aug 31, 2026Xiaoyu Tao, Mingyue Cheng, Ze Guo +4Electricity Price ForecastingTime Series Forecasting

    State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, Hefei, China

  2. Foundation models for electricity price forecasting and battery arbitrage: Can they replace market-specific forecasting models?

    Aug 31, 2026Arkadiusz Lipiecki, Rafał WeronTabular Foundation ModelsElectricity Price Forecasting

    Department of Computational Social Science, Wrocław University of Science and Technology, Poland · Department of Operations Research and Business Intelligence, Wrocław University of Science and Technology, Poland · Center for Research in Energy (CoRE), Aarhus University, 8000 Aarhus C, Denmark

  3. Market-Information-Aware Gated-LoRA of Foundation Models for Transferable Day-Ahead Electricity Price Forecasting

    Aug 11, 2026Hang Fan, Wei Wei, Shengwei MeiElectricity Price ForecastingTime Series Forecasting

  4. Does Demand Response Increase Vulnerability to Cyber Attacks by Adversarial Data Modifications?

    Jul 7, 2026Clemens Kortmann, Eike CramerElectricity Price ForecastingAdversarial Attacks

    Process Systems Engineering (AVT.SVT) RWTH Aachen University · Department of Chemical Engineering Sargent Centre for Process Systems Engineering University College London

  5. Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence

    Jul 2, 2026Zhenghua Pan, Ahmed Aziz EzzatZero-Shot Time Series ForecastingElectricity Price Forecasting

    Department of Industrial & Systems Engineering, Rutgers, The State University of New Jersey, USA.

  6. Analysing drivers and interdependencies in European electricity markets using XAI

    Jun 17, 2026Antoine Pesenti, Aidan O'SullivanElectricity Price Forecasting

    UCL Energy Institute, University College London, UK

  7. Investigating Calibration Challenges in Probabilistic Electricity Price Forecasting

    Jun 8, 2026Jan Niklas Lettner, Hadeer El Ashhab, Benjamin SchäferProbability CalibrationElectricity Price Forecasting

    Institute for Automation and Applied Informatics

  8. Hybrid Kolmogorov-Arnold Network and XGBoost Framework for Week-Ahead Price Forecasting in Australia's National Electricity Market

    May 21, 2026Houxuan Zhou, Sriram Prasad, Chenghao Huang +2Electricity Price ForecastingTime Series Forecasting

    Department of Data Science and AI, Faculty of IT, Monash University, Australia · School of Electrical Engineering and Computer Science, University of Queensland, Australia · Monash Energy Institute, Monash University, Australia

  9. Empirical evaluation of Time Series Foundation Models for Day-ahead and Imbalance Electricity Price Forecasting in Belgium

    May 16, 2026Chi Bui, Maria Margarida Mascarenhas, Arnaud Verstraeten +1Zero-Shot Time Series ForecastingElectricity Price Forecasting

    ELECTA-ESAT (KU Leuven) Leuven, Belgium · ELECTA-ESAT(KU Leuven) and Gridual Leuven, Belgium

  10. A Market-Rule-Informed Neural Network for Efficient Imbalance Electricity Price Forecasting

    May 9, 2026Runyao Yu, Julia Lin, Derek W. Bunn +6Electricity Price ForecastingTime Series Forecasting

    Delft University of Technology · Austrian Institute of Technology · London Business School +2

  11. Electricity price forecasting across Norway's five bidding zones in the post-crisis era

    Apr 29, 2026My Thi Diem Phan, Trung Tuyen Truong, Hoai Phuong Ha +1Electricity Price ForecastingTime Series Forecasting

    Independent researcher · Department of Mathematics, University of Oslo · Department of Computer Science, The Arctic University of Norway +1

  12. Machine Learning and Deep Learning Models for Short Term Electricity Price Forecasting in Australia's National Electricity Market

    Apr 26, 2026Wei Lu, Jay Wang, Dingli Duan +3Gradient-Boosted Decision TreesElectricity Price Forecasting

    School of Engineering, Computer & Mathematical Sciences, Auckland University of Technology (AUT), Auckland 1010, New Zealand · Department of Thermal Energy and Power Engineering, Yantai University, Yantai, China · Department of Building Environment and Equipment, School of Civil Engineering, Hefei University of Technology, Hefei, China +1

  13. Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting

    Apr 16, 2026Jan Niklas Lettner, Hadeer El Ashhab, Veit Hagenmeyer +1Electricity Price ForecastingTime Series Forecasting

    Karlsruhe Institute of Technology · Karlsruhe, Germany