Decomposition of air conditioning electricity consumption considering the dependence between the temperature and electricity consumption
Chao Xun, Lin Liu, Chang Wang, Junhong Ni
TL;DR
This paper introduces a new method to analyze how much electricity air conditioners use by considering how temperature affects electricity consumption.
Contribution
A novel decomposition method for air conditioning electricity consumption based on temperature-electricity dependence using Copula and equiprobable ellipses.
Findings
The proposed method improves accuracy in decomposing air conditioning electricity consumption.
The method was validated using Fuzhou electricity data from 2019 to 2022.
Baseline electricity consumption curves are determined using model selection voting.
Abstract
With the continuous increase in air conditioning installations, the proportion of air conditioning electricity consumption to total electricity consumption is growing. Research on the decomposition of air conditioning electricity consumption is of great significance for assessing electricity usage, formulating electricity scheduling plans, and ensuring the stable operation of the power grid. Currently, typical day selection strategies for the decomposition of air conditioning electricity consumption often overlook the corresponding relationship between typical daily electricity consumption and temperature. Therefore, this paper proposes an air conditioning electricity consumption decomposition method based on the dependence between temperature and electricity consumption. This method filters typical days based on Copula-based dependence indicators and equiprobable ellipses, determines…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16
Figure 17
Figure 18
Figure 19
Figure 20
Figure 21
Figure 22
Figure 23
Figure 24
Figure 25
Figure 26
Figure 27
Figure 28
Figure 29
Figure 30
Figure 31
Figure 32
Figure 33
Figure 34
Figure 35Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEnergy Load and Power Forecasting · Building Energy and Comfort Optimization · Energy Efficiency and Management