PowerMistral: A data-efficient wind power forecasting framework leveraging pre-trained large language models
Qinglin Meng, Yuan Gao, Ying He, Sheharyar Hussain, Jinghang Lu, Yahui Chen, Chao Qin, Fengzhang Luo, Josep M. Guerrero
Topics & Concepts
Computer scienceWind powerWind power forecastingPower (physics)Probabilistic forecastingData modelingWeather forecastingArtificial intelligenceMachine learningEngineeringWind speedNumerical weather predictionKey (lock)Data miningMathematical modelMeteorologyLanguage modelEnergy Load and Power ForecastingThermal Analysis in Power TransmissionTopic Modeling