Energy Forecasting

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Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Energy Forecasting.

Period ending 2026-09-07

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A weekly snapshot of new work published in Energy Forecasting.

72 papers

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  1. Peak-Aware Short-Term Load Forecasting Across Distribution Grid Aggregation Levels

    Sep 16, 2026Souhardya Chattopadhyay, Julian Oelhaf, Antonia Schoening +5Energy Forecasting

  2. Multi-Appliance Non-Intrusive Load Monitoring via Label-Preserving Aggregate Recomposition and Prediction Consistency

    Sep 16, 2026Jiangfeng Liu, Yanfang FanEnergy Forecasting

  3. Distributed JEPA: A Self-Supervised Framework for Energy Forecasting

    Sep 15, 2026Liana Toderean, Tudor Cioara, Vasilis Michalakopoulos +3Energy Forecasting

  4. A Hilbert-Valued Functional Decomposition Framework for Explaining Time-Dependent Outputs

    Sep 10, 2026Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright +1Concept-Based ExplainabilityEnergy Forecasting

  5. Calendar-Structured Sparse Principal Component Analysis for Interpretable Multi-Periodic Electricity Consumption Profiles

    Sep 5, 2026Carlos Quesada-Granja, Tony Castillo-Calzadilla, Carlos Rizo-MaestreEnergy ForecastingPrincipal Component Analysis

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

    Aug 31, 2026Arkadiusz Lipiecki, Rafał WeronEnergy ForecastingTime Series Foundation Models

  7. State of Health Estimation using Convolutional and Bidirectional LSTM Neural Networks tuned by Bayesian Optimization

    Aug 31, 2026Panagiotis Eleftheriadis, Foivos Georgios Kyrgios, Sonia LevaBidirectional Long Short-Term MemoryEnergy Forecasting

  8. Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations

    Aug 13, 2026Berk Hadzhamolla, Alexander Johannes Stasik, Signe Riemer-SørensenHeat DiffusionNeural Ordinary Differential Equations

  9. XGBoost "is all you need": the case of forecasting transmitted heat energy in District Heating Systems

    Aug 11, 2026Milan ZdravkovićEnergy ForecastingXgboost

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

    Aug 11, 2026Hang Fan, Wei Wei, Shengwei MeiEnergy ForecastingElectricity Markets

  11. ArchEGraph: A Large-Scale Graph Dataset for Geometry-Topology-Physics Aligned Building Energy Modeling

    Aug 7, 2026Yihui Li, Yihui Chen, Kaidi Zha +7Building Information ModelingEnergy Based Models

  12. Short-term load forecasting under EU-AI Act Requirements in Safety-Critical Environments: Results from a 41-day live challenge on the aggregated German transmission-grid load

    Aug 5, 2026Thomas Bartz-Beielstein, Inalbek Akiev, Lalo MohamadEnergy ForecastingSmart Grids

  13. Personalized Federated Sparse Adaptation of Time-Series Foundation Models

    Aug 5, 2026Priyanka Nihalchandani, Naman Srivastava, Varun Ojha +1Time Series Foundation ModelsFederated Fine-Tuning

  14. Design-Time Optimization of Deep Neural Networks for Intermittent Learning on Microcontrollers

    Aug 4, 2026Jakob Schubert, Maximilian Kasper, Maximilian Linke +5MicrocontrollersDeep Neural Network

  15. BayesSeg: A Bayesian Optimization Framework for State Segmentation of Electricity Consumption Time Series

    Aug 1, 2026Zhenya Zhang, Wendi Zhu, Ping Wang +2Energy ForecastingTime Series

  16. Climate-resilient electric vehicle charging infrastructure for sustainable cities: An interpretable causal-ensemble framework for preventive maintenance and low-carbon mobility

    Jul 23, 2026Cande Lian, Wentao Zeng, Jiabin Wu +2Electric VehiclesEnergy Forecasting

  17. SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting

    Jul 22, 2026Hang Ye, Xinyan Jiang, Yuedong Shi +5Energy ForecastingState Space Models

  18. Domain-Adapted Power Curve for Cross-Farm Applications

    Jul 22, 2026Ahmadreza Chokhachian, V. Roshan Joseph, Yu DingOffshore Wind TurbineEnergy Forecasting

  19. Probabilistic Physics-Aware Machine Learning Predictions of Electric Truck Energy Consumption with Field Data

    Jul 21, 2026Hannes Nilsson, Rafael Basso, Balázs Kulcsár +1Energy ForecastingElectric Vehicles

  20. Behaviour-Conditioned Neural Processes for Adaptive Residential Short-Term Load Forecasting

    Jul 17, 2026Ramin Soleimani, Andrea Visentin, Dirk PeschEnergy Forecasting

  21. A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods

    Jul 17, 2026Matthias Hertel, Sebastian Pütz, Jonathan Kolar +3Energy ForecastingTime Series Foundation Models

  22. Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study

    Jul 15, 2026Daniel Grillmeyer, Marius Hadry, Michael Stenger +3Wind Power ForecastingEnergy Forecasting

  23. Learning-based Probabilistic Load Forecasting with Post-hoc and In-model Uncertainty

    Jul 14, 2026Sarah Al-Shareeda, Gulcihan Ozdemir, Heung Seok JeonEnergy ForecastingPredictive Uncertainty

  24. Inter-Stop Energy Prediction and Causal Driver Quantification for Dual-Source Trolleybuses via a Time-Aware Tabular Deep Learning Architecture

    Jul 13, 2026Wentao Zeng, Zijian Huang, Yiming Bie +2Energy ForecastingTabular Learning

  25. On-Device Adaptive Battery Power Prediction for Electric Vehicles

    Jul 10, 2026Avik Bhatnagar, Anton Paule, Tobias Schuermann +2Electric VehiclesLithium-Ion Batteries

  26. PARA-PV: Physics-Aware Retrieval-Augmented PV Prediction Based on Frozen Foundation Model and Distribution Shift Correction

    Jul 9, 2026Hang Fan, Weican Liu, Ying Lu +3Wind Power ForecastingEnergy Forecasting

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

    Jul 7, 2026Clemens Kortmann, Eike CramerDemand ResponseEnergy Forecasting

  28. Static Metrics Are Insufficient: Predicting Java Method Energy Usage with Execution Time

    Jul 7, 2026Muhammad Imran, Vincenzo Stoico, Ivano MalavoltaEnergy Based ModelsEnergy Forecasting

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

    Jul 2, 2026Zhenghua Pan, Ahmed Aziz EzzatEnergy ForecastingTime Series Foundation Models

  30. Probabilistic Low-Voltage Peak Load Forecasting with Time Series Foundation Models Evaluated on Application-Oriented Metrics

    Jul 2, 2026Benedikt Kaas, Manuel Treutlein, Hannes Benedikt Gerber +5Energy ForecastingTime Series Foundation Models

  31. Relational and Sequential Conformal Inference for Energy Time Series over Graphs via Foundation Models

    Jun 30, 2026Keivan Faghih Niresi, Alice Cicirello, Olga FinkEnergy ForecastingTemporal Graph Neural Networks

  32. Physics-Informed Neural Network with Transfer Learning for State Estimation in Lithium-Ion Batteries using the Single Particle Model with Electrolyte

    Jun 26, 2026Gift Modekwe, Qiugang LuLithium-Ion BatteriesElectrochemical Models

  33. Cellular Predictions on the Move: What about Data?

    Jun 24, 2026Natalia Vesselinova, Pauliina IlmonenAccurate Traffic ForecastingEnergy Forecasting

  34. Towards Continuous Power Forecasting: Practical Continual Learning for Real-World Energy Systems in Nonstationary Time Series

    Jun 23, 2026Yujiang He, Frederic Uhrweiller, Bernhard SickEnergy ForecastingEfficient Continual Learning

  35. Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecasting

    Jun 22, 2026Jinhao Li, Hao WangEnergy ForecastingKolmogorov-Arnold Networks

  36. Comparative Evaluation of Machine Learning and Deep Learning Models for Wound-Rotor Synchronous Motor Performance Prediction

    Jun 19, 2026Kıvanç Doğan, Ahmet OrhanSurrogate ModelingOffshore Wind Turbine

  37. Short-Term Electricity Demand Forecasting for New England Using a Hybrid Transformer-XGBoost Framework with Weather, Calendar, and COVID-19 Indicators

    Jun 18, 2026Reza Ghanavati, Behrooz MosallaeiEnergy ForecastingCoronavirus Disease

  38. Forecasting what Matters: Decision-Focused RL for Controlled EV Charging with Unknown Departure Times

    Jun 17, 2026Giuseppe Gabriele, Fabio Pavirani, Seyed Soroush Karimi Madahi +1Electric VehiclesEnergy Forecasting

  39. Delta-Based Target Reformulation for Short-Term Electricity Load Forecasting Using LSTM and Transformer Models

    Jun 16, 2026Vansh BansalEnergy ForecastingNon-Stationarity

  40. Autonomous End-to-End SOH Prediction Services for Battery Systems via Temporal-Contrastive Representation Learning

    Jun 15, 2026Junting Wen, Dan Li, Qihao Quan +8Lithium-Ion BatteriesPredictive Maintenance

  41. Quantum Reservoir Computing for Short-Term Power Load Forecasting in Resource-Constrained Energy Systems

    Jun 11, 2026Mansi Od, Param Pathak, Nouhaila Innan +1Reservoir ComputingEnergy Forecasting

  42. Investigating Calibration Challenges in Probabilistic Electricity Price Forecasting

    Jun 8, 2026Jan Niklas Lettner, Hadeer El Ashhab, Benjamin SchäferEnergy ForecastingScoring Rules

  43. CF-JEPA: Mask-free forward prediction with asymmetric encoder utilization for time-series representation learning

    Jun 5, 2026Jaehoon Lee, Sunghyun SimJoint-Embedding Predictive ArchitecturesTime Series

  44. RESCAST-100K: A Comprehensive Dataset for Cross-Domain Residential Load and Indoor Temperature Forecasting

    Jun 1, 2026Jainam Dhruva, Yousaf Raza, A. B. Siddique +1Energy ForecastingDomain Adaptation

  45. EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction

    May 30, 2026Dahai Yu, Rongchao Xu, Lin Jiang +1Energy ForecastingSpatio-Temporal Forecasting

  46. Uncertainty-Aware Transfer Learning for Cross-Building Energy Forecasting: Toward Robust and Scalable District-Level Energy Management

    May 28, 2026Shadmehr Zaregarizi, Khashayar YavariEnergy Forecasting

  47. Diffusion Model-Based Data Assimilation for Real-World Energy Consumption Forecasting

    May 27, 2026Ruoyu Hu, Dahai Yu, Feng Bao +2Data AssimilationEnergy Forecasting

  48. BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting

    May 26, 2026Ruifeng Tan, Jintao Dong, Weixiang Hong +3Lithium-Ion BatteriesEnergy Forecasting

  49. Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations

    May 25, 2026Eduardo Luiz Alba, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro +1Energy ForecastingXgboost

  50. LLM Agent Based Renewable Energy Forecasting Using Edge and IoT Data A Review of Solar Wind Weather and Grid Aware Decision Support

    May 24, 2026Pavan Manjunath, Thomas PrueferWind Power ForecastingEnergy Forecasting

  51. 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 MarketsEnergy Forecasting

  52. PeakFocus: Bridging Peak Localization and Intensity Regression via a Unified Multi-Scale Framework for Electricity Load Forecasting

    May 20, 2026Wangzhi Yu, Peng Zhu, Qing Zhao +2Energy ForecastingIntensity

  53. 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 +1Energy ForecastingTime Series Foundation Models

  54. Benchmarking Transformer and xLSTM for Time-Series Forecasting of Heat Consumption

    May 10, 2026Marja Wahl, Daniel R. Bayer, Sven Rausch +1Energy ForecastingCnn-Lstm

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

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

  56. Hedging Memory Horizons for Non-Stationary Prediction via Online Aggregation

    May 7, 2026Yutong Wang, Yannig Goude, Qiwei YaoEnergy ForecastingNon-Stationarity

  57. Gated Multimodal Learning for Interpretable Property Energy Performance Prediction and Retrofit Scenario Analysis

    May 6, 2026Yunfei Bai, Aaron Tesfa Tsion, Raul Rosales +2Energy Based ModelsEnergy Forecasting

  58. Federated Learning for Early Prediction of EV Charging Demand

    May 6, 2026Vasilis Perifanis, Foteini Nikolaidou, Nikolaos Pavlidis +2Electric VehiclesEnergy Forecasting

  59. SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting

    Apr 30, 2026Arnaud ZinflouImputationEnergy Forecasting

  60. Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models

    Apr 30, 2026Matthias Hertel, Alexandra Nikoltchovska, Sebastian Pütz +3Energy ForecastingTime Series Foundation Models