Accurate multi-step wind and solar power forecasting based on multi-scale convolutional Kolmogorov-Arnold network and improved Lemming-optimized attention fusion
Siyuan Chen, Hang Wan, Botao Peng, Rui Quan, Yufang Chang, William Derigent
Topics & Concepts
Computer scienceWind powerPhotovoltaic systemRenewable energyHyperparameterContext (archaeology)Feature selectionWind power forecastingSolar powerArtificial intelligenceConvolutional neural networkElectric power systemDeep learningArtificial neural networkSmart gridData miningBoosting (machine learning)Machine learningSolar irradianceMean absolute percentage errorVolatility (finance)Real-time computingGridWind speedGradient boostingStability (learning theory)Electricity generationModel selectionHybrid powerPower (physics)Recurrent neural networkSelection (genetic algorithm)Hybrid systemKey (lock)Hyperparameter optimizationSelection algorithmEnergy Load and Power ForecastingSmart Grid and Power SystemsPower Systems and Renewable Energy