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Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
Predicting daily wind speed using coupled multi-layer perceptron model with water strider optimization algorithm based on fuzzy reasoning and Gamma test
Hybrid semantic deep learning architecture and optimal advanced encryption standard key management scheme for secure cloud storage and intrusion detection
Nonlinear optimal control with effective wind speed estimation for maximum power extraction based on adaptive fuzzy logic controller and extended Kalman Filter
A compound framework for wind speed forecasting based on comprehensive feature selection, quantile regression incorporated into convolutional simplified long short-term memory network and residual error correction
Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression
Accurately forecasting solar radiation distribution at both spatial and temporal dimensions simultaneously with fully-convolutional deep neural network model
Computer Vision-Aided RFID Tag Group Location Measurement and Reading Performance Prediction Using Graph Transformer Network With Novel Topology Graph Construction Strategy
Ampirik Kip Ayrıştırma Yöntemi ile Elde Edilen İçsel Kip Fonksiyonlarının Derin Öğrenme Tabanlı Rüzgâr Hızı Tahmin Modeli Başarımına Etkisinin Belirlenmesi
Optimal Capacity and Charging Scheduling of Battery Storage through Forecasting of Photovoltaic Power Production and Electric Vehicle Charging Demand with Deep Learning Models
Application of Combined Models Based on Empirical Mode Decomposition, Deep Learning, and Autoregressive Integrated Moving Average Model for Short-Term Heating Load Predictions
A robust chaos-inspired artificial intelligence model for dealing with nonlinear dynamics in wind speed forecasting
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