Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Accurate photovoltaic power forecasting models using deep LSTM-RNN
An Improved Photovoltaic Power Forecasting Model With the Assistance of Aerosol Index Data
Day-Ahead Solar Forecasting Based on Multi-Level Solar Measurements
Solar Radiation Prediction using Artificial Neural Network
Stacked LSTM Deep Learning Model for Traffic Prediction in Vehicle-to-Vehicle Communication
Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping
Deep State Space Models for Time Series Forecasting
Optimization of decentralized renewable energy system by weather forecasting and deep machine learning techniques
Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting
DeepEnergy: Prediction of Appliances Energy with Long-Short Term Memory Recurrent Neural Network
Random vector functional link network for short-term electricity load demand forecasting
Wind Power Prediction with Machine Learning Ensembles
Identification of Photovoltaic Source Models
Time Series Forecasting with PSO-Optimized Neural Networks
Weather forecasting using deep learning techniques
Time series forecasting using a deep belief network with restricted Boltzmann machines
Deep Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
An efficient model based on artificial bee colony optimization algorithm with Neural Networks for electric load forecasting
Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression
Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland
Spectrum Survey in Singapore: Occupancy Measurements and Analyses
Deep Recurrent Neural Network for Intrusion Detection in SDN-based Networks
Labial adhesions in pubertal girls
Pemphigoid diseases: pathogenesis, diagnosis, and treatment.
Forecasting Power Output of Photovoltaic Systems Based on Weather Classification and Support Vector Machines