Generalized additive models: An efficient method for short-term energy prediction in office buildings

Energy ◽  
2020 ◽  
Vol 213 ◽  
pp. 118834
Author(s):  
Thulasi Ram Khamma ◽  
Yuming Zhang ◽  
Stéphane Guerrier ◽  
Mohamed Boubekri
Keyword(s):  
Efficient Method ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Office Buildings ◽  
Short Term ◽  
Energy Prediction ◽  
Term Energy

scholarly journals Modeling the Number of COVID-19 Confirmed Cases and Deaths in Puerto Rico: One-year Experience

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Suarez EL ◽  
◽  
Reyes JC ◽  
Perez CM ◽  
Mattei H ◽  
...  
Keyword(s):  
Puerto Rico ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Downward Trend ◽  
Short Term ◽  
R Software ◽  
Risk Of Death ◽  
Department Of Health ◽  
One Year ◽  
Age And Sex

Aims: To describe and project the number of COVID-19 cases and deaths reported in Puerto Rico, according to age and sex. Methods: We used surveillance data from March 8, 2020 to March 13, 2021 to describe and predict, by age and sex, the number of cases and deaths in Puerto Rico using Generalized Additive Models. The statistical modeling was performed in R software using the mgcv package. Results: The analytic sample consisted of 95,208 confirmed cases and 2,080 deaths reported by the Puerto Rico Department of Health until the second week of March 2021. The risk of COVID-19 infection was highest among adults aged 20-59 years, as compared with those younger than 20 years (RR20-39 vs. <20: 2.35 [95% CI: 1.80-3.06] and (RR20-59 vs. <20: 2.30 [95% CI: 1.76-3.00]). However, the pattern in the risk of death showed an inverse relationship: the highest risk of death occurred in adults 60 years and over as compared with those younger than 60 years (RR≥80 vs. <60: 22.4 [95% CI: 18.9-26.5] and (RR60-79 vs. <60: 6.7 [95% CI: 5.6-7.9]). Although there were no significant differences in the risk of infection (p>0.1) by sex, males had a 70% (95% CI: 50-100%) greater risk of death than their female counterparts. The projected weekly number of confirmed cases of COVID-19 showed a downward trend; we expected approximately 510 confirmed cases of COVID-19 in the week ending March 27, 2021. Similarly, the projected weekly number of COVID-19 deaths showed a downward trend. Conclusion: Future studies are needed to understand age and sex differences in COVID-19 infections and deaths. Increments in the number of COVID-19 cases in the short term are of great concern to justify more substantial preventive restrictions.

A short-term energy prediction system based on edge computing for smart city

2019 ◽  
Vol 101 ◽  
pp. 444-457 ◽  
Author(s):  
Haidong Luo ◽  
Hongming Cai ◽  
Han Yu ◽  
Yan Sun ◽  
Zhuming Bi ◽  
...  
Keyword(s):  
Smart City ◽  
Edge Computing ◽  
Prediction System ◽  
Short Term ◽  
Energy Prediction ◽  
Term Energy

Longitudinal Course of Short-Term Variation and Doppler Parameters in Early Onset Growth Restricted Fetuses

2019 ◽  
Vol 41 (06) ◽  
pp. e23-e32
Author(s):  
Friederike Baier ◽  
Leonie Weinhold ◽  
Florian M. Stumpfe ◽  
Sven Kehl ◽  
Jutta Pretscher ◽  
...  
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Time Interval ◽  
Short Term ◽  
Significant Deterioration ◽  
Term Variation ◽  
Doppler Indices

Abstract Purpose To evaluate the longitudinal pattern of fetal heart rate short term variation (STV) and Doppler indices and their correlation to each other in severe growth restricted (IUGR) fetuses. Materials and Methods In this retrospective study, pregnancies with a birth weight below the 10th percentile, born between 24 and 34 gestational weeks with serial Doppler measurements in combination with a computerized CTG (cCTG) with calculated STV were included. Longitudinal changes of both Doppler indices and STV values were evaluated with generalized additive models, adjusted for gestational age and the individual. For all measurements the frequency of abnormal values with regard to the time interval before delivery and Pearson correlations between Doppler indices and STV values were calculated. Results 41 fetuses with a total of 1413 observations were included. Over the course of the whole study period, regression analyses showed no significant change of STV values (p = 0.38). Only on the day of delivery, a prominent decrease was observed (mean STV d28-22: 7.97 vs. mean STV on day 0: 6.8). Doppler indices of UA and MCA showed a continuous, significant deterioration starting about three weeks prior to delivery (p = 0.007; UA and p < 0.001, MCA). Correlation between any Doppler index and STV values was poor. Conclusion Fetal heart rate STV does not deteriorate continuously. Therefore, cCTG monitoring should be performed at least daily in these high-risk fetuses. Doppler indices of umbilical artery (UA) and middle cerebral artery (MCA), however, showed continuous deterioration starting about 3 weeks prior to delivery.

scholarly journals Short-term Effects of Multiple Ozone Metrics on Outpatient Visits For Urticaria in Lanzhou

2021 ◽  
Author(s):  
Jing Zhang ◽  
Yuan He ◽  
chunrui Shi
Keyword(s):  
Generalized Additive Models ◽  
Warm Season ◽  
Additive Models ◽  
Ozone Pollution ◽  
Short Term ◽  
Ambient Ozone ◽  
Outpatient Visits ◽  
Short Term Exposure ◽  
Hourly Data ◽  
Short Term Effects

Abstract Background Although mounting evidence suggests that short-term exposure to ozone increases the risk of respiratory disease, cardiovascular disease and mortality, there are few studies comparing the effects of ozone in relation to urticaria in China.Objective To evaluate the risks for urticaria exacerbations related to ambient ozone measured as 1-h maximum (O3-1 h max), maximum 8-h (O3-8 h max) and 24-h average (O3-24 h avg) concentrations. Methods We calculated three metrics of ozone, 1-h maximum, maximum 8-h and 24-h average based on the hourly data. Generalized additive models with poisson regression incorporating natural spline functions were used to investigate short-term effects on urticaria associated with ambient ozone pollution in Lanzhou, China, using 5 years of daily data (2013-2017). We also examined the association by sex, age and season.Results In all-year analyses, a 10 μg/m3 increase in daily average, O3-1 h max, O3-8 h max and O3-24 h avg at lag2 corresponded to an increase of 0.58%(95%CI：0.26%~0.90%), 0.82% (95%CI：0.47%~1.16%) and 2.17% (95%CI：1.17%~2.79%), respectively. The elderly populations and females were susceptible to O3, and the associations between ozone and urticaria appeared to be more evident during warm season than in the cold season.Conclusion In conclusion, these results indicated that ozone, as a widespread pollutant, affects outpatient visits for urticaria in Lanzhou.

scholarly journals Modeling the Short-Term Effect of Traffic and Meteorology on Air Pollution in Turin with Generalized Additive Models

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Pancrazio Bertaccini ◽  
Vanja Dukic ◽  
Rosaria Ignaccolo
Keyword(s):  
Urban Areas ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Short Term ◽  
Traffic Regulation ◽  
Pollutant Concentrations ◽  
Functional Forms ◽  
The City ◽  
Partial Effects

Vehicular traffic plays an important role in atmospheric pollution and can be used as one of the key predictors in air-quality forecasting models. The models that can account for the role of traffic are especially valuable in urban areas, where high pollutant concentrations are often observed during particular times of day (rush hour) and year (winter). In this paper, we develop a generalized additive models approach to analyze the behavior of concentrations of nitrogen dioxide (NO2), and particulate matter (PM10), collected at the environmental monitoring stations distributed throughout the city of Turin, Italy, from December 2003 to April 2005. We describe nonlinear relationships between predictors and pollutants, that are adjusted for unobserved time-varying confounders. We examine several functional forms for the traffic variable and find that a simple form can often provide adequate modeling power. Our analysis shows that there is a saturation effect of traffic on NO2, while such saturation is less evident in models linking traffic to PM10behavior, having adjusted for meteorological covariates. Moreover, we consider the proposed models separately by seasons and highlight similarities and differences in the predictors’ partial effects. Finally, we show how forecasting can help in evaluating traffic regulation policies.

scholarly journals Short-Term Associations of Ambient Fine Particulate Matter (PM2.5) with All-Cause Hospital Admissions and Total Charges in 12 Japanese Cities

2021 ◽  
Vol 18 (8) ◽  
pp. 4116
Author(s):  
Kohei Hasegawa ◽  
Hirokazu Toubou ◽  
Teruomi Tsukahara ◽  
Tetsuo Nomiyama
Keyword(s):  
Particulate Matter ◽  
Hospital Admission ◽  
Hospital Admissions ◽  
Generalized Additive Models ◽  
Fine Particulate Matter ◽  
Random Effect ◽  
Additive Models ◽  
Short Term ◽  
Short Term Exposure ◽  
Total Charges

The short-term association between ambient particulate matter ≤2.5 microns in diameter (PM2.5) and hospital admissions is not fully understood. Studies of this association with hospital admission costs are also scarce, especially in entire hospitalized populations. We examined the association between ambient PM2.5 and all-cause hospital admissions, the corresponding total charges, and the total charges per patient by analyzing the hospital admission data of 2 years from 628 hospitals in 12 cities in Japan. We used generalized additive models with quasi-Poisson regression for hospital admissions and generalized additive models with log-linear regression for total charges and total charges per patient. We first estimated city-specific results and the combined results by random-effect models. A total of 2,017,750 hospital admissions were identified. A 10 µg/m3 increase in the 2 day moving average was associated with a 0.56% (95% CI: 0.14–0.99%) increase in all-cause hospital admissions and a 1.17% (95% CI: 0.44–1.90%) increase in total charges, and a 10 µg/m3 increase in the prior 2 days was associated with a 0.75% (95% CI: 0.34–1.16%) increase in total charges per patient. Short-term exposure to ambient PM2.5 was associated with increased all-cause hospital admissions, total charges, and total charges per patient.

Sign in / Sign up

Export Citation Format

Share Document