An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations

Probabilistic forecasts of time and energy flexibility in battery electric vehicle charging

(2020) Julian Huber et al.   APPLIED ENERGY

Evaluation of wind power forecasts—An up‐to‐date view

(2020) Jakob W. Messner et al.   WIND ENERGY

The opportunity for smart charging to mitigate the impact of electric vehicles on transmission and distribution systems

(2020) Constance Crozier et al.   APPLIED ENERGY

Data-Driven Charging Demand Prediction at Public Charging Stations Using Supervised Machine Learning Regression Methods

(2020) Ahmad Almaghrebi et al.   Energies

EV Idle Time Estimation on Charging Infrastructure, Comparing Supervised Machine Learning Regressions

(2019) Alexandre Lucas et al.   Energies

Dynamic analysis of the integration of electric vehicles in efficient buildings fed by renewables

(2019) A. Buonomano et al.   APPLIED ENERGY

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

(2019) Juncheng Zhu et al.   Energies

Wavelet-Based Decompositions in Probabilistic Load Forecasting

(2019) Luisa Alfieri et al.   IEEE Transactions on Smart Grid

Review on probabilistic forecasting of photovoltaic power production and electricity consumption

(2018) D.W. van der Meer et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Non-crossing nonlinear regression quantiles by monotone composite quantile regression neural network, with application to rainfall extremes

(2018) Alex J. Cannon   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Combining Probabilistic Load Forecasts

(2018) Yi Wang et al.   IEEE Transactions on Smart Grid

Probabilistic Modeling of Electric Vehicle Charging Pattern Associated with Residential Load for Voltage Unbalance Assessment

(2017) Azhar Ul-Haq et al.   Energies

Multi-site solar power forecasting using gradient boosted regression trees

(2017) Caroline Persson et al.   SOLAR ENERGY

Electric vehicle charging demand forecasting model based on big data technologies

(2016) Mariz B. Arias et al.   APPLIED ENERGY

Forecasting the EV charging load based on customer profile or station measurement?

(2016) Mostafa Majidpour et al.   APPLIED ENERGY

ARIMA-based decoupled time series forecasting of electric vehicle charging demand for stochastic power system operation

(2016) M. Hadi Amini et al.   ELECTRIC POWER SYSTEMS RESEARCH

Very Short-Term Nonparametric Probabilistic Forecasting of Renewable Energy Generation— With Application to Solar Energy

(2016) Faranak Golestaneh et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A probabilistic approach to combining smart meter and electric vehicle charging data to investigate distribution network impacts

(2015) Myriam Neaimeh et al.   APPLIED ENERGY

Probabilistic Agent-Based Model of Electric Vehicle Charging Demand to Analyse the Impact on Distribution Networks

(2015) Pol Olivella-Rosell et al.   Energies

Ensemble methods for wind and solar power forecasting—A state-of-the-art review

(2015) Ye Ren et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Stochastic Analyses of Electric Vehicle Charging Impacts on Distribution Network

(2014) Rong-Ceng Leou et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Geodemographic analysis and estimation of early plug-in hybrid electric vehicle adoption

(2013) Jukka Saarenpää et al.   APPLIED ENERGY

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

(2013) Yunfei Mu et al.   APPLIED ENERGY

Probabilistic Method to Assess the Impact of Charging of Electric Vehicles on Distribution Grids

(2012) Eduardo Valsera-Naranjo et al.   Energies

Modeling of Plug-in Hybrid Electric Vehicle Charging Demand in Probabilistic Power Flow Calculations

(2012) Gan Li et al.   IEEE Transactions on Smart Grid

Study of PEV Charging on Residential Distribution Transformer Life

(2011) Qiuming Gong et al.   IEEE Transactions on Smart Grid