scholarly journals Improving forecasting accuracy of daily energy consumption of office building using time series analysis based on wavelet transform decomposition

2019 ◽  
Vol 294 ◽  
pp. 012031 ◽  
Author(s):  
Chengkuan Fang ◽  
Yuan Gao ◽  
Yingjun Ruan
Keyword(s):  
Time Series ◽  
Wavelet Transform ◽  
Energy Consumption ◽  
Time Series Analysis ◽  
Office Building ◽  
Forecasting Accuracy ◽  
Series Analysis ◽  
Daily Energy

scholarly journals Advantages Of A Time Series Analysis Using Wavelet Transform As Compared With A Fourier Analysis

2015 ◽  
Vol 23 (2) ◽  
pp. 30-36 ◽  
Author(s):  
Patrik Sleziak ◽  
Kamila Hlavčová ◽  
Ján Szolgay
Keyword(s):  
Time Series ◽  
Wavelet Transform ◽  
Time Series Analysis ◽  
Fourier Analysis ◽  
Stationary Time Series ◽  
Precipitation Time Series ◽  
Software Environment ◽  
R Software ◽  
Series Analysis ◽  
Average Annual Precipitation

Abstract The paper presents an analysis of changes in the structure of the average annual discharges, average annual air temperature, and average annual precipitation time series in Slovakia. Three time series with lengths of observation from 1961 to 2006 were analyzed. An introduction to spectral analysis with Fourier analysis (FA) is given. This method is used to determine significant periods of a time series. Later in this article a description of a wavelet transform (WT) is reviewed. This method is able to work with non-stationary time series and detect when significant periods are presented. Subsequently, models for the detection of potential changes in the structure of the time series analyzed were created with the aim of capturing changes in the cyclical components and the multiannual variability of the time series selected for Slovakia. Finally, some of the comparisons of the time series analyzed are discussed. The aim of the paper is to show the advantages of time series analysis using WT compared with FT. The results were processed in the R software environment.

scholarly journals Research on the structure of energy consumption pattern in typical Western China based on time series analysis

2021 ◽  
Vol 267 ◽  
pp. 01009
Author(s):  
Weizheng Kong ◽  
Hongcai Dai ◽  
Yaohua Wang ◽  
Xiaoyu Wu ◽  
Rui Chen
Keyword(s):  
Time Series ◽  
Energy Consumption ◽  
Time Series Analysis ◽  
Model Transformation ◽  
Western China ◽  
Consumption Pattern ◽  
Series Analysis ◽  
Energy Consumption Model ◽  
Consumption Model ◽  
Energy Consumption Pattern

Accelerating the transformation of the energy consumption pattern in western China and promoting the development of clean energy are the main problems facing the energy consumption system. This paper bases on the characteristics of China’s western region the industrial structure, the energy consumption structure, and analyses the energy consumption model transformation trend of typical of the west, on this basis, the combination of time series analysis and ARIMA model is used to set up different typical energy consumption in the field of forecast and analysis, and put forward according to the results of the analysis of energy consumption model transformation.

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