scholarly journals Time series data measurement on electricity consumption for selected domestic appliances in typical terrace house of Malaysia

2019 ◽  
Vol 8 (3) ◽  
pp. 1144-1153
Author(s):  
Naja Aqilah ◽  
Sheikh Ahmad Zaki Shaikh Salim ◽  
Aya Hagishima ◽  
Nelidya Md Yusoff ◽  
Fitri Yakub
Keyword(s):  
Time Series Data ◽  
Electricity Consumption ◽  
Hot Water ◽  
Series Data ◽  
Small Contribution ◽  
Washing Machine ◽  
Air Conditioners ◽  
Power Characteristics ◽  
Data Measurement ◽  
Domestic Appliances

This paper describes the pattern of electricity consumption from total and selected domestic appliances at a typical terrace house in Malaysia. The measured appliances can be classified into four groups on the basis of pattern of use which are ‘standby’ (TV), ‘active’ (massage chair, charger of hand phone, laptop and power bank, washing machine, air-conditioners, iron, standing fan, shower heaters, rice cooker, toaster, microwave), ‘cold’ (refrigerator) and ‘cold and hot’ (water dispenser). The major contribution of monthly electricity consumption comes from ‘cold’ appliances that consume 118.8 kWh/month followed by ‘active’ appliances that consume 87.8 kWh/month and ‘cold and hot’ appliance with 52.5 kWh/month. ‘Standby’ appliances shown a small contribution to the total electricity with 0.9 kWh/month. The amount of energy consumed depends on time-of-use, power characteristics of particular appliances as well as occupancy period.

scholarly journals Statistical analysis of air conditioning peak loads of multiple dwellings

2019 ◽  
Vol 111 ◽  
pp. 04057
Author(s):  
Tetsushi Ono ◽  
Aya Hagishima ◽  
Jun Tanimoto ◽  
Sheikh Ahmad Zaki ◽  
Naja Aqilah Hisham
Keyword(s):  
Statistical Analysis ◽  
Air Conditioning ◽  
Time Series Data ◽  
Electricity Consumption ◽  
Series Data ◽  
Kuala Lumpur ◽  
Air Conditioners ◽  
Time Patterns ◽  
Load Peak ◽  
Smart Community

Evaluation of the aggregated air-conditioning load of multiple dwellings is important for demand response through the optimum control of numerous air-conditioners (A/Cs), for development of smart-city or smart-community technologies. However, past studies have mainly focused on the characteristics of A/C load in a single household. With this background, the authors conducted statistical analysis of time-series data for A/C electricity consumption in 489 dwellings in Osaka, Japan, and 20 dwellings in Kuala Lumpur, Malaysia to grasp the feature of aggregated A/C load of multiple dwellings. The findings of this analysis are followings: 1) the aggregated A/C load peak per dwelling decreased by almost 50% as the number of dwellings increased from 1 to 10, due to the offset of the diverse time-patterns of A/C load. 2) The occurrence of the top 2.5% A/C load shows strong time and date dependency for an A/C load aggregated by many dwellings:

Implementing Business Intelligence in Electricity Markets

2010 ◽  
pp. 283-295
Author(s):  
José Ramón Cancelo ◽  
Antoni Espasa
Keyword(s):  
Electricity Markets ◽  
Business Intelligence ◽  
Explicit Knowledge ◽  
Time Series Data ◽  
Contextual Information ◽  
Electricity Consumption ◽  
Point Of View ◽  
Series Data ◽  
Basic Ideas ◽  
Set Up

The authors elaborate on three basic ideas that should guide the implementation of business intelligence tools. First, the authors advocate for closing the gap between structured information and contextual information. Second, they emphasize the need for adopting the point of view of the organization to assess the relevance of any proposal. In the third place, they remark that any new tool is expected to become a relevant instrument to enhance the learning of the organization and to generate explicit knowledge. To illustrate their point, they discuss how to set up a forecasting support system to predict electricity consumption that converts raw time series data into market intelligence, to meet the needs of a major organization operating at the Spanish electricity markets.

scholarly journals The Relationship between Electric Power Consumption, Foreign Direct Investment and Economic Growth in Sri Lanka

2020 ◽  
pp. 21-31
Author(s):  
S. Maheswaranathan
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Sri Lanka ◽  
Direct Investment ◽  
Time Series Data ◽  
Empirical Finding ◽  
Electricity Consumption ◽  
Series Data ◽  
Long Run ◽  
Bound Test

Purpose: This paper investigates the long run relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka. Design/Methodology/Approach: The annual time series data over the period 1970–2017 is considered to this study. Augmented Dickey–Fuller (ADF) unit root analysis is employed for examining the stationary properties of the variables. Consequently, Autoregressive Distributed Lag (ARDL) analysis is employed to examining the short- run and long-run relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka. Further, this study used the diagnostic tests such as the residual normality test, heteroskedasticity and serial autocorrelation tests for misspecification to validate the parameter estimation outcomes achieved by the estimated model. CUSUM test is applied to test the stability of the model. Collected data were analyzed using STATA version 15. Findings: The findings of the bound test confirm that the variables are cointegrated. Further the results reveal that there is a statistically positive significant relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka in the long run and short term. The empirical finding reveals that one percent increase in electricity consumption and foreign direct investment increases the GDP by 1.5 percent and 12.9 percent in the long run respectively.

Thermodynamic Effects on Cavitation in Water and Cryogenic Fluids

2010 ◽  
Author(s):  
Maria Grazia De Giorgi ◽  
Maria Giovanna Rodio ◽  
Antonio Ficarella
Keyword(s):  
High Speed ◽  
Time Series Data ◽  
Cold Water ◽  
Hot Water ◽  
Series Data ◽  
Cryogenic Fluid ◽  
Low Frequencies ◽  
Pixel Intensity ◽  
Cavitation Phenomenon ◽  
Optical Visualization

The present study focuses on the formation of cavitation in cold and hot water and in cryogenic fluid, characterized by strong variations in fluid properties caused by a change in temperature. Cavitation phenomenon is investigated in water and nitrogen flows in a convergent-divergent nozzle through pressure measurements and the optical visualization method. High-speed photographic recordings have been made, the cavitation phenomena evolution and the related frequency content are investigated by means of pixel intensity time series data. The results obtained concur with those obtained with the spectral analysis of the pressure signals. In the case of cryogenic fluid frequency peaks are shifted towards lower frequencies, with respect to cold water and the magnitude of the signal rises, in particular at low frequencies, for nitrogen and hot water. This can be due to thermal effects that contribute also to the low frequencies in the case of cryogenic fluid. To verify the validity of this assumption, a simple model based on the resolution of Rayleigh equation is used.

The effect of energy subsidies on the sustainability of economy, society and environment: A case study of Iran

2021 ◽  
pp. 93-129
Author(s):  
Alireza Ghadertootoonchi ◽  
Maryam Fani ◽  
Masoume Bararzadeh
Keyword(s):  
Time Series Data ◽  
Price Change ◽  
Consumer Price Index ◽  
Electricity Consumption ◽  
Series Data ◽  
Energy Price ◽  
Data Set ◽  
Gasoline Price ◽  
Energy Subsidies

The elimination of energy subsidies leads to the increase in CPI (Consumer Price Index) di-rectly and indirectly. In this study, the effects removing energy subsidies on the Iranian econ-omies have been investigated; though, the main innovation introduced in the study was to con-sider the effect of energy price realization on the economy with respect to the monetary policy (path) that can be regarded as the third option; that is, rising energy price creates new sources that can cover the deficits of the countries. The countries don't need to cover their budget defi-cits by borrowing from the central bank; for this purpose, dynamic modeling in Vensim soft-ware was used via the equations obtained from the Time Series Data set prepared from 2000 to 2014. The results show that the annual increase of 10, 20, and 30 percent of prices after 2011 could have reduced liquidity volume in 2014 by 0.04, 0.11, and 0.75 million billion Rials respectively and leading to CPI reduction by 4, 7 and 10.3 units. Besides, the results indicated that the households reacted to gasoline price change more than the other two energy carriers; that is, gas and electricity. And the first income decile was the most sensitive decile of popula-tion towards price changes. compared to 2009, gasoline, gas and electricity consumption of the first decile declined by 68.5%, 21%, and 10% in 2010, respectively.

Sign in / Sign up

Export Citation Format

Share Document