Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Forecasting electric vehicles sales with univariate and multivariate time series models: The case of China
General Sales Forecast Models for Automobile Markets and their Analysis
Electricity price forecasting: A review of the state-of-the-art with a look into the future
A Data-Driven Method for Energy Consumption Prediction and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions
Forecasting of sales by using fusion of machine learning techniques
Modeling the Driving Behavior of Electric Vehicles Using Smartphones and Neural Networks
Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression
High-variance multivariate time series forecasting using machine learning
Modeling of electric vehicle loads for power flow analysis based on PSAT
Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping
A Robust Approach for Multivariate Time Series Forecasting
Empirical Comparison of Prediction Methods for Electricity Consumption Forecasting
Electric load forecasting: Literature survey and classification of methods
APPLYING MACHINE LEARNING METHODS FOR TIME SERIES FORECASTING
ELM variants comparison on applications of time series data forecasting
Innovative Application of the Public–Private Partnership Model to the Electric Vehicle Charging Infrastructure in China
Modeling of an electric vehicle charging station for fast DC charging
A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting
Scalable Forecasting Techniques Applied to Big Electricity Time Series
Electric load forecasting methods: Tools for decision making
An Empirical Comparison of Machine Learning Models for Time Series Forecasting
Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery
When Scalability Meets Consistency: Genuine Multiversion Update-Serializable Partial Data Replication
Random forests
Vector Quantization In Text Dependent Automatic Speaker Recognition Using Mel-frequency Cepstrum Coefficient
Data Mining Techniques For Diagnosis And Prognosis Of Breast Cancer