Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Using Conditional Kernel Density Estimation for Wind Power Density Forecasting
Cross-Validation and the Estimation of Conditional Probability Densities
An ensemble of Extreme Learning Machine for prediction of wind force and moment coefficients in marine vessels
Conditional Density Estimation via Least-Squares Density Ratio Estimation
Application of extended Kalman filter to parameter estimation of doubly-fed induction generators in variable-speed wind turbine systems
Wind Turbine Power Curve Modeling Using Advanced Parametric and Nonparametric Methods
Deep learning for wind vector determination
Predicting solar generation from weather forecasts using machine learning
Darrieus Wind Turbine Performance Prediction: Computational Modeling
Geometric Inference on Kernel Density Estimates
ECAST: A Benchmark Framework for Renewable Energy Forecasting Systems
A Novel Wavelet-Based Ensemble Method for Short-Term Load Forecasting with Hybrid Neural Networks and Feature Selection
Wind power prediction with different artificial intelligence models
Monitoring Wind Farms With Performance Curves
Parallel Multiscale Autoregressive Density Estimation
Density Ratio Estimation: A Comprehensive Review
Conditional Time Series Forecasting with Convolutional Neural Networks
Empirical Comparison of Prediction Methods for Electricity Consumption Forecasting
An adaptive neuro-fuzzy inference system approach for prediction of tip speed ratio in wind turbines
Electric load forecasting methods: Tools for decision making
A literature review of wind forecasting technology in the world
Layout Dependent Effect: Impact on device performance and reliability in recent CMOS nodes
A scalable content-addressable network
Projection Pursuit Regression
Efficient and Consistent Flow Update for Software Defined Networks
Learning Deep Structured Models