Short-Term Forecasting of Daily Electricity of Different Campus Building Clusters Based on a Combined Forecasting Model
In the building field, campus buildings are a building group with great energy-saving potential due to a lack of reasonable energy management policies. The accurate prediction of power energy usage is the basis for energy management. To address this issue, this study proposes a novel combined foreca...
Main Authors: | Wenyu Wu, Qinli Deng, Xiaofang Shan, Lei Miao, Rui Wang, Zhigang Ren |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Buildings |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-5309/13/11/2721 |
Similar Items
-
Short-term Forecast of Hourly Electricity Demand in Iran Using a Forecast Combination Method
by: Seyed Farshad Fatemi Ardestani, et al.
Published: (2020-02-01) -
A Large-Scale Wireless Cell Long-Term Daily-Granularity Forecasting Method
by: Wei Fang, et al.
Published: (2022-01-01) -
Short-Term Campus Load Forecasting Using CNN-Based Encoder–Decoder Network with Attention
by: Zain Ahmed, et al.
Published: (2024-09-01) -
A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings
by: Federico Divina, et al.
Published: (2019-05-01) -
Forecast Combination under Heavy-Tailed Errors
by: Gang Cheng, et al.
Published: (2015-11-01)