Litcius/Paper detail

Explainable and physics-constrained PV power prediction via a hybrid framework Integrating secondary decomposition and improved Transformer-LSTM

Jiahao Zou, Zhaocai Wang, Zhaoyang Zhu, Zuowen Tan

2026Energy9 citationsDOI

Topics & Concepts

Photovoltaic systemComputer scienceResidualBoosting (machine learning)GridRandomnessMean squared errorHyperparameterDecompositionPredictive modellingStability (learning theory)Power (physics)Hyperparameter optimizationReliability engineeringMean squared prediction errorParticle swarm optimizationSPARK (programming language)Performance predictionDifferential evolutionEngineeringAlgorithmHeuristicSizingTransformerElectric power systemPrediction intervalCompensation (psychology)Artificial neural networkSolar Radiation and PhotovoltaicsEnergy Load and Power ForecastingPhotovoltaic System Optimization Techniques
Explainable and physics-constrained PV power prediction via a hybrid framework Integrating secondary decomposition and improved Transformer-LSTM | Litcius