Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Approach

Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Approach

Accurate load forecasting is of vital importance for improving the energy utilization efficiency and economic profitability of intelligent buildings. However, load forecasting is restricted in the popularization and application of conventional load forecasting techniques due to the great difficulty...

Full description

Saved in:
Bibliographic Details
Main Authors: Lanqian Yang, Jinmin Guo, Huili Tian, Min Liu, Chang Huang, Yang Cai
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Buildings
Subjects:
building load prediction
multi-time scale
multi-variable load scale
machine learning methods
hybrid model
temporal convolutional network
Online Access:https://www.mdpi.com/2075-5309/15/2/298
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2075-5309/15/2/298

Similar Items