Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging
The transition to Electric Vehicles (EV) in place of traditional internal combustion engines is increasing societal demand for electricity. The ability to integrate the additional demand from EV charging into forecasting electricity demand is critical for maintaining the reliability of electricity g...
Main Authors: | Raiden Skala, Mohamed Ahmed T. A. Elgalhud, Katarina Grolinger, Syed Mir |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/16/10/4093 |
Similar Items
-
Bayesian Optimized Echo State Network Applied to Short-Term Load Forecasting
by: Gabriel Trierweiler Ribeiro, et al.
Published: (2020-05-01) -
Short-Term Load Forecasting in Power Systems Based on the Prophet–BO–XGBoost Model
by: Shuang Zeng, et al.
Published: (2025-01-01) -
Hour-Ahead Photovoltaic Power Prediction Combining BiLSTM and Bayesian Optimization Algorithm, with Bootstrap Resampling for Interval Predictions
by: Reinier Herrera-Casanova, et al.
Published: (2024-01-01) -
Using Bayesian Deep Learning for Electric Vehicle Charging Station Load Forecasting
by: Dan Zhou, et al.
Published: (2022-08-01) -
Probabilistic Interval Forecasting of Power Load Based on Structured Load Model
by: Chuanjun PANG, et al.
Published: (2021-09-01)