scholarly journals Using multiple linear regression to disaggregate electricity consumption for cluster-metered academic buildings

2021 ◽  
Author(s):  
Nicholas So

Ryerson University does not have a means to gauge electricity consumption for half of their campus buildings. The installation of utility meters is outside of the University’s budget, a situation that may be similar across other academic institutions. A multiple linear regression approach to estimating consumption for academic buildings is an ideal tool that balances performance and utility. Using 80 buildings from Ryerson University and the University of Toronto, significant building characteristics were identified (from a selection of 18 variables) that show a strong linear relationship with electricity consumption. Four equations were created to represent the diversity in size of academic buildings. Tested using cross-validation, the coefficient of variation of the RMSE for all models was 33%, with a range of error between 20% and 43%. The models were highly successful at modeling electricity consumption at Ryerson University with an average error of 14.8% for five building clusters. Using metered data from each cluster, raw estimates for individual buildings were adjusted to improve accuracy.

2021 ◽  
Author(s):  
Nicholas So

Ryerson University does not have a means to gauge electricity consumption for half of their campus buildings. The installation of utility meters is outside of the University’s budget, a situation that may be similar across other academic institutions. A multiple linear regression approach to estimating consumption for academic buildings is an ideal tool that balances performance and utility. Using 80 buildings from Ryerson University and the University of Toronto, significant building characteristics were identified (from a selection of 18 variables) that show a strong linear relationship with electricity consumption. Four equations were created to represent the diversity in size of academic buildings. Tested using cross-validation, the coefficient of variation of the RMSE for all models was 33%, with a range of error between 20% and 43%. The models were highly successful at modeling electricity consumption at Ryerson University with an average error of 14.8% for five building clusters. Using metered data from each cluster, raw estimates for individual buildings were adjusted to improve accuracy.


2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Anastasya Putri Yudiana ◽  
Hexana Sri Lastanti

<span class="fontstyle0">This study aims to examine the factors that influence the behavior of academic fraud by students in the faculty of economics by using diamond fraud dimensions consisting of pressure, opportunity, rationalization and capabilities at the University of Trisakti environment. This study is using purposive sampling method and convenience sampling, purposive sampling is the selection of the sample taken not random, so that later on only samples that are necessary are to be tested, while convenience sampling means is easy with a qualititative approach that ultimately result in quantitative. The independent variables in this study is Fraud Diamond and the dependent variable is academic fraud by students in faculty of economics. Data was obtained through questionnaires with Likert scale. Statistical method in use is multiple linear regression with the help of SPSS 20 software. The results of this study indicate that students academic fraud behavior is influenced by the dimensions of the economic faculty of diamond fraud.</span>


2020 ◽  
Vol 3 (2) ◽  
pp. 18-26
Author(s):  
Suryani Goga ◽  
Lillyani M. Orisu ◽  
Marcus R. Maspaitella

Purpose of this study was to analyze the effect of the number of electronic furniture, the number of lamps, the number of family dependents, income and electrical power on the electricity demand by households in Amban Village, Manokwari Regency. The data obtained comes from the results of interviews and literature review that supports this research. The analytical tool used in this research is multiple linear regression. The results showed that the number of electrical furniture, the number of lamps and the number of dependents did not affect household electricity consumption, while income and electrical power did not affect household electricity consumption demand.


2020 ◽  
Vol 4 (2) ◽  
pp. 68-76
Author(s):  
Bambang Tri Pamungkas

 This study aims to determine whether there is a partial influence of work environment and motivation on the performance of Sarjanawiyata Tamansiswa Yogyakarta Household Employees. To find out the influence of work environment and work motivation simultaneously on the performance of Sarjanawiyata Tamansiswa Yogyakarta Household Employees.      The nature of this research is correlational. The variables of this study are the work environment and work motivation and employee performance. The population in this study were all Household Employees at the University of Sarjanawiyata Tamansiswa Yogyakarta with a population of 37, a population of less than 100, so that all populations were sampled by the census method. The data collection method uses a questionnaire. The analysis technique used is multiple linear regression with a significance level of 5%.       The results obtained by the work environment has a positive and significant effect on the performance of employees of the Household Section of the Sarjanawiyata Tamansiswa Yogyakarta University. Work motivation has a positive and significant effect on the performance of employees of the Household Section of the Sarjanawiyata Tamansiswa University in Yogyakarta. Employee performance is influenced by the work environment and work motivation by 29.3%, while the remaining 70.7% is influenced by other factors.


1974 ◽  
Vol 19 (2) ◽  
pp. 193-200 ◽  
Author(s):  
Betty W. Steiner ◽  
Paul E. Garfinkel ◽  
R. C. A. Hunter

This paper draws attention to the problem of attrition in a psychiatric residency program by reviewing the outcome of training of all physicians accepted for psychiatric residencies at the University of Toronto over a six-year period. Of the 142 physicians no longer in training, 71 have become certified psychiatrists. Factors associated with success in training are examined. Those residents who are highly unlikely to become certified psychiatrists could be identified in each of the first three years of training. In view of these findings recommendations are made for improved screening of candidates and for dealing with residents who experience difficulties in training.


2015 ◽  
Vol 6 (2) ◽  
pp. e6-e13
Author(s):  
Michael Sklar ◽  
Antoine Eskander ◽  
Kelly Dore ◽  
Ian Witterick

Background: The traditional, panel style interview and the multiple mini interview (MMI) are two options to use in the selection of medical trainees with each interview format having inherent advantages and disadvantages. Our aim was to compare the traditional and MMI on the same cohort of postgraduate applicants to the Department of Otolaryngology – Head & Neck Surgery at the University of Toronto.Method: Twenty-seven applicants from the 2010 Canadian Residency Matching Service selected for interview at the University of Toronto, Department of Otolaryngology – Head & Neck Surgery were included in the study. Each applicant participated in both a traditional interview and MMI.Results:  Traditional interviews marked out of a total maximum score of 570.  On the traditional interview, scores ranged from 397-543.5 (69.6 - 95.3%), the mean was 460.2. The MMI maximum score was out of 180. MMI scores ranged from 93 – 146 (51.7 - 81.1%) with a mean of 114.8. Traditional interview total scores were plotted against MMI total scores. Scores correlated reasonably well, Pearson Correlation = 0.315 and is statistically significant at p = 0.001. Inter-interview reliability for the two interview methods was 0.038, with poor overall agreement 0.07%.Conclusions: MMI and traditional interview scores are correlated but do not reliably lead to the same rank order.  We have demonstrated that these two interview formats measure different characteristics.  One format may also be less reliable leading to greater variation in final rank.  Further validation research is certainly required.Key Words: Multiple mini interview; medical education; traditional interview; postgraduate admissions


2021 ◽  
Vol 3 (1) ◽  
pp. 47-62
Author(s):  
Mahgalena Mahgalena ◽  
Wahab Wahab ◽  
Choirul Huda

Purpose - This study aims to examine the effect of knowledge, location and religiosity on the interest of students at the University of Sains Al-Quran Wonosobo to save in Islamic bank.Method - This research uses a type of field research with a quantitative approach. Sources of data in this study are primary data obtained from the results of a questionnaire by scoring using a likert scale. The population o this research is 100 students. In data analysis, the data analysis technique used is multiple linear regression analysis.Result - The result showed that knowledge had a significant effect on interest in saving in Islamic bank, while location and religiosity did not significantly influence the interest in saving at Islamic banks. Then knowledge, location and religiosity simultaneously affect the interest in saving at Islamic banks.Implication - This research can be used as input in getting customers with a high amount of savings in Islamic banks.Originality - This study looked at the factors that influence the interest of students at the University of Sains Al-Quran Wonosobo to save in Islamic banks This research can be used as input in getting customers with a high amount of savings in Islamic banks.. In this study focused on 3 variables, namely variables of knowledge, location and religiosity.


2009 ◽  
Vol 26 (3) ◽  
pp. 259-265
Author(s):  
E. Costa ◽  
L. M. Gallo

AbstractThe Natural Science Museum of Turin is the owner of a small but nice collection of meteorites, partly obtained by means of direct acquisition during the last 30 years, and partly inherited from the rather old collection of the University of Turin. This collection was partially forgotten for the last 50 years, and after 1936 the collection became almost invisible. In the last 30 years the meteorite samples were tightly packaged and retained in the basement of the museum building. Currently a new listing of the meteorite collection is in progress and almost finished, in which every sample is described, measured and weighed. For each sample the authors acquired high resolution images and examined historical documentations. Images were acquired with a desktop scanner, which was found to be an ideal tool for this purpose. A classification based on most famous meteorite catalogues is coupled to each description. About eighty samples (and probably a new meteorite, not described until now) will be depicted in the new catalogue, which hopefully will be published during 2009. The authors want to inform the international community that Turin the Museum holds an important collection containing almost all of the Piedmont meteorites (e.g. MOTTA DI CONTI, CERESETO, ALESSANDRIA), some Italian meteorites of considerable historical importance (TRONZANO, ALFIANELLO, ASSISI, SIENA), together with a selection of American and Eastern European samples.


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