load planning
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2021 ◽  
Vol 2042 (1) ◽  
pp. 012091
Author(s):  
Nuoa Lei ◽  
Zhu Cheng ◽  
Zhi Cao ◽  
Eric Masanet

Abstract Intelligent load scheduling is an emerging approach that has the potential to facilitate extreme sustainable data center (DC) operation. However, scarcity of straightforward tools in the public domain challenges decision makers performing quantitative analysis of the DC load planning and its potential benefits. In this work, a novel integrated decision-making framework was developed to address this issue, which provides the basis for the multi-objective optimization of carbon-, water-, and economic-intelligent load scheduling. The proposed framework was demonstrated with a case study DC in California, which showed the usefulness of the proposed framework in informing sustainable DC operations.


Author(s):  
Mariia Roztorhui ◽  
Oleksandr Gangur ◽  
Volodymyr Olіjarnik ◽  
Mykola Gavrilenko

The analysis of scientific and methodical literature confirms the fragmentary consideration of a problem of planning of loading of athletes in classic powerlifting that is connected with identification of preparation of athletes in equipped and classic divisions. The results of athletes in classic powerlifting are identical to the results of some weight categories in the equipment division. Despite the rapid dynamics of results, the scientific justification for building the training of athletes in classic powerlifting is based on the achievements of scientists in the field of weightlifting or equipment powerlifting. The purpose is to identify the features of load planning in the training of highly qualified powerlifters in the competitive period of the macrocycle. To solve this goal, we used the following research methods: analogy, analysis, synthesis, abstraction, induction, extrapolation, generalization of practical experience, analysis of documentary materials, methods of mathematical statistics. The study revealed the following patterns in load planning in the training of highly qualified powerlifters in the competitive period of the macrocycle: inverse dependence in planning the volume and intensity of the load in training, which is a gradual increase in intensity against the background of the load as you approach the main competitions; nonlinear planning of loading in microcycles in separate groups of exercises on the basis of application of big indicators of intensity of loading in one group of exercises and average and small intensities in two other groups; reducing the intensity of the load in the groups of exercises as you approach the main competitions in accordance with the number of muscle groups involved during the performance of these exercises.


2021 ◽  
Vol 3 (3 (111)) ◽  
pp. 24-31
Author(s):  
Yelyzaveta Sahun ◽  
Anatoliy Zalevskii ◽  
Natalya Chornohor ◽  
Yuliya Sikirda

Loading an aircraft is an extremely complex process with many variable aspects that determine the planning of each flight separately. The article is devoted to the development of an algorithm and a computer model for planning the loading of a cargo ramp aircraft in a multi-lag route. The essence of the algorithm consists in a predetermined arrangement of cargo containers relative to the cargo compartment, taking into account the general limitations of the aircraft and the priority of the cargo, which directly affects the planning of loading in a multi-lag route. The use of a visualized computer model created on the basis of the algorithm can reduce the average time of loading operations for a number of direct flights by almost 7 %, and on multi-lag flights by 12 %. Implementation of the model in the activities of an air carrier avoids a situation where certain criteria and restrictions entail sorting «manually» by all indicators, which is very time-consuming in the context of the urgency of servicing the aircraft at the airport. The visualized load planning computer model enables flight planning personnel to make faster decisions and predict additional load on other sections of the route. The successful application of the model to the airline’s operations contributes to the efficiency and safety of ground handling services. This contributes to the intensification of the use of the aircraft fleet by increasing the speed of commercial cargo handling. In the future, the computer model can serve as the basis for a rule-based expert system in order to prevent containers from being overloaded at intermediate sections of the route


2021 ◽  
Vol 145 ◽  
pp. 270-289
Author(s):  
Bruno P. Bruck ◽  
Jean-François Cordeau ◽  
Emma Frejinger
Keyword(s):  

2021 ◽  
pp. 121-133
Author(s):  
Daniela Ambrosino ◽  
Davide Anghinolfi ◽  
Massimo Paolucci ◽  
Silvia Siri

2021 ◽  
Author(s):  
Preeti Rathi ◽  
Amit Upadhyay ◽  
Palash Dey

EXTRAPOLASI ◽  
2020 ◽  
Vol 17 (2) ◽  
pp. 16-25
Author(s):  
Retno Trimurtiningrum ◽  
Faradlillah Saves ◽  
Laily Endah Fatmawati ◽  
Yusak Adi Setiawan

AbstractThe advance of technology and design in construction field are developing. Therefore, variety of structural design becomes unique. The shape of building with cantilever seems increasingly atrractive because it is rated to have high architecture. Cantilever form with a longer span of more than 1/3 L is increasingly desirable because it provides a unique exterior appearance,as well as a double function other than as a room can also functioned as a canopy.The building is designed to be a 7-storey building with cantilever beam on the 6th – 7th floor for 4 m. This study used the reference of SNI 03-2847-2013 in designing the main structural elements of reinforced concrete, SNI 03-1726-2012 for the designing the earthquake load, SNI 03-1727-2013 and PPIUG1983 for gravity load planning. From the results of analysis, the interstory drift that occurs both the X-direction and the direction of Y is 50.544 mm and 39.956 mm, each of which qualifies the interstory drift limit according to SNI 03-1726-2012. Structural performance levels are being catagories in immediate occupancy level which means there is no structural damage and the building can be used immediately according to its function AbstrakKemajuan teknologi dan desain di bidang konstruksi semakin berkembang. Hal tersebut, membuat beragamnya variasi desain struktur yang semakin hari semakin unik. Bentuk-bentuk gedung dengan kantilever tampaknya semakin diminati karena dinilai mempunyai arsitektur yang tinggi. Bentuk kantilever yang mempunyai bentang lebih panjang, yaitu lebih dari 1/3 L makin diminati karena memberikan tampilan eksterior yang unik, serta dapat berfungsi ganda selain sebagai ruangan juga dapat difungsikan sebagai kanopi. Gedung yang didesain merupakan gedung 7 lantai dengan balok kantilever pada lantai 6 dan 7 sepanjang 4 m. Penelitian ini menggunakan acuan SNI 03-2847-2013 dalam mendesain elemen struktur utama beton bertulang, SNI 03-1726-2012 untuk perencanaan beban gempa, SNI 03-1727-2013 dan PPIUG 1983 untuk perencanaan beban gravitasi. Dari hasil analisis didapatkan besar simpangan yang terjadi baik arah x maupun arah Y adalah sebesar 50,544 mm dan 39,956 mm, dimana masing-masing memenuhi syarat batas simpangan antar lantai sesuai SNI 03-1726-2012. Level kinerja struktur termasuk level immediate occupancy yang berarti tidak terjadi kerusakan structural dan gedung dapat segera dipakai sesuai dengan fungsinya.


2020 ◽  
Vol 18 (2) ◽  
pp. 170
Author(s):  
Makmur Saini ◽  
A.M. Shiddiq Yunus ◽  
Firdaus Firdaus

The development of population from time to time is increased and the need for electricity consumption is also increased. Simultaneously increasing the need for electric power requires the provider of electricity supply in this case PT. PLN (Persero) should deliver power effectively to consumers. To maximize the distribution of electricity to the consumer, a load planning is required. This load planning is conducted to find out how much amount of power is required by consumer. The purpose of this research is to investigate the need of power load of interconnection system of South Sulawesi and to investigate the accuracy of load planning using Artificial Neural Network (ANN) backpropagation.


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