Wind Power Forecasting

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2 papers in the last 28 days · 0.1% of indexed attention

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Period ending 2026-09-14

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A weekly snapshot of new work published in Wind Power Forecasting.

33 papers

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Ensemble Complexity in Photovoltaic Forecasting
Sep 14, 2026Sun Ze, Zhou Liguo, Xu Yuqing +2Wind Power Forecasting
Horizon-specific Expert Fusion for Photovoltaic Power Forecasting
Sep 14, 2026Xu Yuqing, Zhou Liguo, Sun Ze +2Wind Power Forecasting
Bidirectional Multimodal Fusion of Sky Images and Time-Series for Solar Forecasting with Large Language Models
Sep 11, 2026Ken Chen, Maneesha Perera, Wei Wang +3Wind Power Forecasting Solar Irradiance
Frequency-aware forecasting for short-term typhoon gust prediction
Aug 26, 2026Xuefei Wang, Tingyi Liu, Heng Zhang +2Wind Power Forecasting Offshore Wind Turbine
FarSky: Task-Aware Latent-Space Coupling for Generative Intra-Hour Solar Forecasting
Aug 6, 2026Yann Fabel, Bijan Nouri, Milon Miah +4Wind Power Forecasting Retrieval-Augmented Forecasting
An AI-Based Decision-Support Pipeline for Day-Ahead Photovoltaic Forecasting
Aug 3, 2026Fariba Dehghan, Sebastian Stein, Vahid Yazdanpanah +2Wind Power Forecasting Atmospheric Correction
Skillful forecasting of offshore winds from satellite scatterometer constellations
Jul 29, 2026Francesco Pinto, Luca Lanzilao, Paco Lopez Dekker +1Wind Power Forecasting Tropical Cyclones
A Controlled Visual-Backbone Benchmark for Multimodal Short-Term Solar Irradiance Forecasting
Jul 26, 2026Oshadha Samarakoon, Dushan Herath, Ishara Ranmandala +4Solar Irradiance Wind Power Forecasting
A Deep Learning Framework for Predicting Solar EUV Irradiance During Significant Flares
Jul 21, 2026Sathvik Soman, Jason T. L. Wang, Haimin Wang +1Geomagnetic Storms Solar Irradiance
LLMs and Agentic AI Systems for Smart Grids: A Tutorial on Architectures and Applications
Jul 20, 2026Daniela Rojas, Abdulwahab Albassam, Aidan G. Leung +11Smart Grids Wind Power Forecasting
Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction
Jul 19, 2026Shiyuan Piao, Fan Zehui, Yang Liu +4Wind Power Forecasting Fourier Neural Operators
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 Forecasting Energy Forecasting
Robustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable Analysis
Jul 14, 2026Dandan Chen, Yan Zhao, Xuepeng ChenWind Power Forecasting Photovoltaic
Climate-Invariant Conformal Prediction Intervals for Multi-Horizon Solar and Wind Forecasting
Jul 13, 2026Shreedhar Gangwar, Abhinav Bains, Banalaxmi BrahmaWind Power Forecasting Conformal Prediction
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 Forecasting Energy Forecasting
UniWind: Toward Unified Day-Ahead Wind Power Forecasting via Physics-Informed State Routing
Jul 2, 2026Ronghui Xu, Tongxin Wu, Guozhen Zhang +4Wind Power Forecasting Physics-Informed Deep Learning
QueryMarket: Cost-Aware Online Active Learning in Data Markets
Jun 16, 2026Xiwen Huang, Pierre PinsonActive Learning Prices
Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting
Jun 7, 2026Jiahui Huang, Ao Luo, Lei Liu +6Wind Power Forecasting Offshore Wind Turbine
Time series Foundation Models based on Physics-Informed Synthetic Histories for Cold-Start Photovoltaic Forecasting
Jun 5, 2026Lorenzo Longarini, Alessandro Rongoni, Simone Silenzi +2Wind Power Forecasting Time Series Foundation Models
Step-adaptive multimodal fusion network with multi-scale cloud feature learning for ultra-short-term solar irradiance forecasting
Jun 4, 2026Jingxin Zhang Xiaoqin WangWind Power Forecasting Weather Models
A Systematic Evaluation of Current Architectures in Wind Power Forecasting
Jun 1, 2026Vinicius Bortolini, Gilson Adamczuk Oliveira, Erick Oliveira Rodrigues +1Wind Power Forecasting Urban Wind
Decision-focused learning for optimal PV-Battery scheduling
May 27, 2026Joris Depoortere, Hussain Kazmi, Johan DriesenPhotovoltaic Wind Power Forecasting
Inpainting-Style Conditional Diffusion for Multivariable Time Series Forecasting
May 27, 2026Kourosh Kiani, S. M. MuyeenWind Power Forecasting Photovoltaic
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 Forecasting Energy Forecasting
A Posterior-Predictive Variance Decomposition for Epistemic and Aleatoric Uncertainty in Wind Power Forecasting
May 21, 2026Yinsong Chen, Samson S. Yu, Kashem M. MuttaqiWind Power Forecasting Predictive Uncertainty
Learning Long-Term Temporal Dependencies in Photovoltaic Power Output Prediction Through Multi-Horizon Forecasting
May 18, 2026Sumit Laha, Ankit Sharma, Hassan ForooshWind Power Forecasting Photovoltaic
ECTO: Exogenous-Conditioned Temporal Operator for Ultra-Short-Term Wind Power Forecasting
May 12, 2026Cao Yuan, Junjun WangWind Power Forecasting Weather Models
A Quantum Inspired Variational Kernel and Explainable AI Framework for Cross Region Solar and Wind Energy Forecasting
May 9, 2026Pavan Manjunath, Thomas PruferWind Power Forecasting Solar Irradiance
AI and Open-data Driven Scalable Solar Power Profiling
May 4, 2026Shiliang Zhang, Sabita Maharjan, Damla TurgutPhotovoltaic Wind Power Forecasting
SolarTformer: A Transformer Based Deep Learning Approach for Short Term Solar Power Forecasting
Apr 27, 2026Ankan Basu, Jyotiraditya Roy, Aditya Datta +2Wind Power Forecasting Solar Irradiance
Forecasting Solar Energy Using a Single Image
Apr 23, 2026Jeremy Klotz, Shree K. NayarSolar Irradiance Wind Power Forecasting
Barrier-enforced multi-objective optimization for direct point and sharp interval forecasting
Apr 20, 2026Worachit Amnuaypongsa, Yotsapat Suparanonrat, Pana Wanitchollakit +1Retrieval-Augmented Forecasting Wind Power Forecasting
Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles
Feb 13, 2026Max Bruninx, Diederik van Binsbergen, Timothy Verstraeten +2Wind Power Forecasting Offshore Wind Turbine

Sep 14, 2026 · cs.LGJ/K move · Enter open · S save

Ensemble Complexity in Photovoltaic Forecasting

Sun Ze, Zhou Liguo, Xu Yuqing, Yu Lei+1

An ensemble can improve photovoltaic forecasts while adding components that contribute little or increase computation. We assess these effects through matched comparisons and ablations of a fixed heterogeneous predictor bank. Hourly experiments use GEFCom2014 and three additional public datasets, with chronological partitions and three seeds. Under retrospective ERA5 assistance, static fusion reduces scaled mean absolute error against matched boosting by 1.11%, 4.41%, and 1.63% on PVDAQ, OPSD, and Ausgrid; only OPSD remains supported after multiple-comparison correction. Weather gating offers no consistent incremental benefit. Exploratory member removals show group-level dependence alongside individual redundancy. A separate, previously inspected fifteen-minute case replaces one neural member with a tree predictor: normalized error falls by 1.72%, but measured inference is slower. These findings support component-wise evaluation with explicit limits on weather availability and test-set reuse.