Electric Vehicle Charging Load Forecasting: A Comparative Study of Deep Learning Approaches

Modeling and Forecasting Electric Vehicle Consumption Profiles

(2019) Alexis Gerossier et al.   Energies

Short-Term Load Forecasting for Electric Vehicle Charging Stations Based on Deep Learning Approaches

(2019) Juncheng Zhu et al.   Applied Sciences-Basel

Fault Diagnosis for Energy Internet Using Correlation Processing-Based Convolutional Neural Networks

(2019) Dongsheng Yang et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

(2018) Salah Bouktif et al.   Energies

A review of data-driven approaches for prediction and classification of building energy consumption

(2018) Yixuan Wei et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

The Application of Improved Random Forest Algorithm on the Prediction of Electric Vehicle Charging Load

(2018) Yiqi Lu et al.   Energies

Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

(2017) Huiting Zheng et al.   Energies

Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network

(2017) Weicong Kong et al.   IEEE Transactions on Smart Grid

Utilization of Electric Vehicles and Their Used Batteries for Peak-Load Shifting

(2015) Muhammad Aziz et al.   Energies

Modelling self-optimised short term load forecasting for medium voltage loads using tunning fuzzy systems and Artificial Neural Networks

(2015) Thair S. Mahmoud et al.   ENERGY CONVERSION AND MANAGEMENT

Day-ahead load forecast using random forest and expert input selection

(2015) A. Lahouar et al.   ENERGY CONVERSION AND MANAGEMENT

Deep learning

(2015) Yann LeCun et al.   NATURE

Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review

(2015) Zhile Yang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

(2015) Muhammad Qamar Raza et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network

(2014) Feng Yu et al.   APPLIED ENERGY

Hourly cooling load forecasting using time-indexed ARX models with two-stage weighted least squares regression

(2014) Yin Guo et al.   ENERGY CONVERSION AND MANAGEMENT

A Spatial–Temporal model for grid impact analysis of plug-in electric vehicles

(2013) Yunfei Mu et al.   APPLIED ENERGY

Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model

(2013) Jie Wu et al.   ENERGY CONVERSION AND MANAGEMENT

A new cascade NN based method to short-term load forecast in deregulated electricity market

(2013) Sajjad Kouhi et al.   ENERGY CONVERSION AND MANAGEMENT

A Scalable Stochastic Model for the Electricity Demand of Electric and Plug-In Hybrid Vehicles

(2013) Mahnoosh Alizadeh et al.   IEEE Transactions on Smart Grid

Modeling of Load Demand Due to EV Battery Charging in Distribution Systems

(2010) Kejun Qian et al.   IEEE TRANSACTIONS ON POWER SYSTEMS