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Query: "work type" (1) AND "fulltext" AND "organization" (Jožef Stefan Institute) .

91 - 100 / 148
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91.
Multi-hop communication in Bluetooth Low Energy ad-hoc wireless sensor network
Branko Skočir, Gregor Papa, Anton Biasizzo, 2018, original scientific article

Published in DiRROS: 15.03.2019; Views: 2517; Downloads: 622
.pdf Full text (992,95 KB)

92.
Sensors in proactive maintenance : a case of LTCC pressure sensors
Marina Santo-Zarnik, Franc Novak, Gregor Papa, 2018, original scientific article

Published in DiRROS: 15.03.2019; Views: 2222; Downloads: 783
.pdf Full text (630,49 KB)

93.
A comparison of models for forecasting the residential natural gas demand of an urban area
Rok Hribar, Primož Potočnik, Jurij Šilc, Gregor Papa, 2019, original scientific article

Abstract: Forecasting the residential natural gas demand for large groups of buildings is extremely important for efficient logistics in the energy sector. In this paper different forecast models for residential natural gas demand of an urban area were implemented and compared. The models forecast gas demand with hourly resolution up to 60 h into the future. The model forecasts are based on past temperatures, forecasted temperatures and time variables, which include markers for holidays and other occasional events. The models were trained and tested on gas-consumption data gathered in the city of Ljubljana, Slovenia. Machine-learning models were considered, such as linear regression, kernel machine and artificial neural network. Additionally, empirical models were developed based on data analysis. Two most accurate models were found to be recurrent neural network and linear regression model. In realistic setting such trained models can be used in conjunction with a weather-forecasting service to generate forecasts for future gas demand.
Keywords: demand forecasting, buildings, energy modeling, forecast accuracy, machine learning
Published in DiRROS: 15.03.2019; Views: 2237; Downloads: 1061
.pdf Full text (968,06 KB)

94.
A formal framework of human-machine interaction in proactive maintenance : MANTIS experience
Špela Poklukar, Gregor Papa, Franc Novak, 2017, original scientific article

Published in DiRROS: 15.03.2019; Views: 2198; Downloads: 1046
.pdf Full text (1,95 MB)

95.
Comparison of multi-objective approaches to the real-world production scheduling
Gregor Papa, Peter Korošec, 2019, published scientific conference contribution

Published in DiRROS: 06.03.2019; Views: 2236; Downloads: 946
.pdf Full text (763,38 KB)

96.
Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach
Tome Eftimov, Peter Korošec, Barbara Koroušić-Seljak, 2017, published scientific conference contribution

Published in DiRROS: 06.03.2019; Views: 2322; Downloads: 1171
.pdf Full text (639,92 KB)

97.
From a production scheduling simulation to a digital twin
Gregor Papa, Peter Korošec, 2018, published scientific conference contribution

Published in DiRROS: 06.03.2019; Views: 2104; Downloads: 575
.pdf Full text (567,95 KB)

98.
Evolution of electric motor design approaches : the domel case
Gregor Papa, Gašper Petelin, Peter Korošec, 2018, published scientific conference contribution

Published in DiRROS: 06.03.2019; Views: 2348; Downloads: 940
.pdf Full text (840,58 KB)

99.
The impact of statistics for benchmarking in evolutionary computation research
Tome Eftimov, Peter Korošec, 2018, published scientific conference contribution

Published in DiRROS: 06.03.2019; Views: 2192; Downloads: 1035
.pdf Full text (787,48 KB)

100.
Deep statistical comparison of meta-heuristic stochastic optimization algorithms
Tome Eftimov, Peter Korošec, Barbara Koroušić-Seljak, 2018, published scientific conference contribution

Published in DiRROS: 06.03.2019; Views: 3331; Downloads: 1057
.pdf Full text (97,46 KB)

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