An Ensemble Energy Consumption Forecasting Model Based on Spatial-Temporal Clustering Analysis in Residential Buildings

An Ensemble Energy Consumption Forecasting Model Based on Spatial-Temporal Clustering Analysis in Residential Buildings

Due to the availability of smart metering infrastructure, high-resolution electric consumption data is readily available to study the dynamics of residential electric consumption at finely resolved spatial and temporal scales. Analyzing the electric consumption data enables the policymakers and buil...

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Bibliographic Details
Main Authors: Anam-Nawaz Khan, Naeem Iqbal, Atif Rizwan, Rashid Ahmad, Do-Hyeun Kim
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Energies
Subjects:
energy prediction
machine learning
deep learning
ensemble model
stacking
time series
Online Access:https://www.mdpi.com/1996-1073/14/11/3020

Internet

https://www.mdpi.com/1996-1073/14/11/3020

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