Pub Date : 2020-04-01DOI: 10.1109/sustech47890.2020.9150526
J. DeLozier, Katrina Kelly-Pitou, Joseph J. Petti, B. Grainger
Electric Vehicles (EV) are the main pillar of transportation electrification. In the past 15 years, a surge in interest in these vehicles has occurred, with a focus on technical and government applications. As of 2018 only 0.5 percent of vehicles are electrified in the United States, creating unknown conditions about how large-scale charging will affect not only the national grid but longterm physical infrastructure. Therefore, observing how EV charging technology has evolved is necessary to start the discussion about near-term charging impacts. Grid-level and public policy interactions for Los Angeles, Portland, and Seattle will be evaluated in terms of EV adoption methodology. This qualitative analysis will illuminate how these cities are managing the influx of EVs into their territories. Finally, EVs have both positive and negative consequences of large-scale implementation as with any other electrical equipment, with the positive outweighing the negative through power matching and duck curve mitigation. In the interim, EVs could have more positive effects than negative on the national grid and local-level policy in regards to transportation electrification.
{"title":"Big Charging: The Large Power Demanding Future of Electric Vehicles","authors":"J. DeLozier, Katrina Kelly-Pitou, Joseph J. Petti, B. Grainger","doi":"10.1109/sustech47890.2020.9150526","DOIUrl":"https://doi.org/10.1109/sustech47890.2020.9150526","url":null,"abstract":"Electric Vehicles (EV) are the main pillar of transportation electrification. In the past 15 years, a surge in interest in these vehicles has occurred, with a focus on technical and government applications. As of 2018 only 0.5 percent of vehicles are electrified in the United States, creating unknown conditions about how large-scale charging will affect not only the national grid but longterm physical infrastructure. Therefore, observing how EV charging technology has evolved is necessary to start the discussion about near-term charging impacts. Grid-level and public policy interactions for Los Angeles, Portland, and Seattle will be evaluated in terms of EV adoption methodology. This qualitative analysis will illuminate how these cities are managing the influx of EVs into their territories. Finally, EVs have both positive and negative consequences of large-scale implementation as with any other electrical equipment, with the positive outweighing the negative through power matching and duck curve mitigation. In the interim, EVs could have more positive effects than negative on the national grid and local-level policy in regards to transportation electrification.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128048956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150505
F. A. Uy, L. Vea, M. G. Binag, K. Diaz, Roy G. Gallardo, Kevin Jorge A. Navarro, Maria Teresa R. Pulido, Ryan Christopher B. Pinca, Billy John Rudolfh I. Rejuso, C. Santos
We present our journey in constructing the first integrated data warehouse for Philippine transportation research in the hopes of developing a Transportation Decision Support System for impact studies and policy making. We share how we collected data from diverse sources, processed them into a homogeneous format and applied them to our multimodal platform. We also list the challenges we encountered, including bureaucratic delays, data privacy concerns, lack of software, and overlapping datasets. The data warehouse shall serve as a public resource for researchers and professionals, and for government officials to make better-informed policies. The warehouse will also function within our multi-modal platform for measurement, modelling, and visualization of road transportation. This work is our contribution to improve the transportation situation in the Philippines, both in the local and national levels, to boost our economy and overall quality of life.
{"title":"The Potential of New Data Sources in a Data-Driven Transportation, Operation, Management and Assessment System (TOMAS)","authors":"F. A. Uy, L. Vea, M. G. Binag, K. Diaz, Roy G. Gallardo, Kevin Jorge A. Navarro, Maria Teresa R. Pulido, Ryan Christopher B. Pinca, Billy John Rudolfh I. Rejuso, C. Santos","doi":"10.1109/SusTech47890.2020.9150505","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150505","url":null,"abstract":"We present our journey in constructing the first integrated data warehouse for Philippine transportation research in the hopes of developing a Transportation Decision Support System for impact studies and policy making. We share how we collected data from diverse sources, processed them into a homogeneous format and applied them to our multimodal platform. We also list the challenges we encountered, including bureaucratic delays, data privacy concerns, lack of software, and overlapping datasets. The data warehouse shall serve as a public resource for researchers and professionals, and for government officials to make better-informed policies. The warehouse will also function within our multi-modal platform for measurement, modelling, and visualization of road transportation. This work is our contribution to improve the transportation situation in the Philippines, both in the local and national levels, to boost our economy and overall quality of life.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125428673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150500
Bradley Postovoit, David Susoeff, Daniel Daghbas, Jonathan E. Holt, C. Pomona, H. T. Le
The paper presents the design of a realistic standalone microgrid-type system to supply power to a family house using solar power and battery storage. A scaled-down version of the designed system is implemented and tested to obtain further understanding of the designed system effectiveness. The results show that the designed system is effective in supplying all the household energy needs. One interesting finding is that the net energy stored in the battery is maximized when around 65% of the solar power output is used to supply loads and 35% is used to charge the battery. For mid-size families with monthly 2502-kWh energy usage, a 13.14-kW solar system and a 27-kWh battery can essentially satisfy their energy demand. The system is profitable where its investment cost can be recovered in about 9–12 years while the system lasts 15–25 years.
{"title":"A Solar-Based Stand-Alone Family House for Energy Independence and Efficiency","authors":"Bradley Postovoit, David Susoeff, Daniel Daghbas, Jonathan E. Holt, C. Pomona, H. T. Le","doi":"10.1109/SusTech47890.2020.9150500","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150500","url":null,"abstract":"The paper presents the design of a realistic standalone microgrid-type system to supply power to a family house using solar power and battery storage. A scaled-down version of the designed system is implemented and tested to obtain further understanding of the designed system effectiveness. The results show that the designed system is effective in supplying all the household energy needs. One interesting finding is that the net energy stored in the battery is maximized when around 65% of the solar power output is used to supply loads and 35% is used to charge the battery. For mid-size families with monthly 2502-kWh energy usage, a 13.14-kW solar system and a 27-kWh battery can essentially satisfy their energy demand. The system is profitable where its investment cost can be recovered in about 9–12 years while the system lasts 15–25 years.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126233719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150498
Sean Monemi, Visarut Wongput, Sonya Weber, Christopher Ajalat, D. Nguyễn, Niousha Tavakoli, Benjamin Jimenez, Jorge Azpeitia
The objective of this project was to develop a way to ensure a high priority electric power customer like hospital continued to receive power in case of faults on a power grid system. Other objective was to include a solar panel parking lot that would power street lighting and some secondary load. For this reason we designed and build a small-scale model of a smart grid city that includes a model of a hospital as well as a solar-covered parking lot.
{"title":"Implementation of Critical Care Customer Within a Small-Scale Model of a Smart Grid","authors":"Sean Monemi, Visarut Wongput, Sonya Weber, Christopher Ajalat, D. Nguyễn, Niousha Tavakoli, Benjamin Jimenez, Jorge Azpeitia","doi":"10.1109/SusTech47890.2020.9150498","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150498","url":null,"abstract":"The objective of this project was to develop a way to ensure a high priority electric power customer like hospital continued to receive power in case of faults on a power grid system. Other objective was to include a solar panel parking lot that would power street lighting and some secondary load. For this reason we designed and build a small-scale model of a smart grid city that includes a model of a hospital as well as a solar-covered parking lot.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114155576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.1109/sustech47890.2020.9150488
M. Cordova-Fajardo, E. Tututi
In order to achieve the subject of increasing the efficiency and diminishing losses of electric energy in a home, the possibility of incorporating High Efficiency Home Appliances (HEHAs) based on power supply switching, fed by centralized public electric system is studied. The HEHAs are used to satisfied the needs at home, such as TV, laptop, induction stove, LEDs and/or fluorescents lamps, among other. However, their electric behavior is rather nonlinear, since they are sources of harmonics that can compromise the integrity of the components and the stability of the public electric grid. Currently, it has been studied the advantages of the Direct Current (DC) in electric systems. However it is necessary to make the technological efforts to have systems as simplest as possible and economically viables. In this paper, we provide experimental data of the behavior of commercial LEDs and Compact Fluorescent Lamps (CFLs), that work at voltage of 120 VAC 60 Hz, that have been incorporated into a DC Home Nanogrid (DCHN) operating a voltage of 120 VCD. These HEHAs need not be modified to operate in the DCHN. The aim of our study is to offer an option attractive for the end user. Since in the market exists appliances to operate at voltage of 120 VAC, that can be used on a DCHN, in our research is not necessary to acquire DC appliances to be used exclusively on a DC electric system. Measurements and analysis of harmonic emissions emitted into the DCHN in both AC and DC are studied by using the Total Harmonic Distortion (THD) with support on the Fast Fourier Transform (FFT) function.
{"title":"How the Fluorescent and LED Lamps Affect the DC Home Nanogrids","authors":"M. Cordova-Fajardo, E. Tututi","doi":"10.1109/sustech47890.2020.9150488","DOIUrl":"https://doi.org/10.1109/sustech47890.2020.9150488","url":null,"abstract":"In order to achieve the subject of increasing the efficiency and diminishing losses of electric energy in a home, the possibility of incorporating High Efficiency Home Appliances (HEHAs) based on power supply switching, fed by centralized public electric system is studied. The HEHAs are used to satisfied the needs at home, such as TV, laptop, induction stove, LEDs and/or fluorescents lamps, among other. However, their electric behavior is rather nonlinear, since they are sources of harmonics that can compromise the integrity of the components and the stability of the public electric grid. Currently, it has been studied the advantages of the Direct Current (DC) in electric systems. However it is necessary to make the technological efforts to have systems as simplest as possible and economically viables. In this paper, we provide experimental data of the behavior of commercial LEDs and Compact Fluorescent Lamps (CFLs), that work at voltage of 120 VAC 60 Hz, that have been incorporated into a DC Home Nanogrid (DCHN) operating a voltage of 120 VCD. These HEHAs need not be modified to operate in the DCHN. The aim of our study is to offer an option attractive for the end user. Since in the market exists appliances to operate at voltage of 120 VAC, that can be used on a DCHN, in our research is not necessary to acquire DC appliances to be used exclusively on a DC electric system. Measurements and analysis of harmonic emissions emitted into the DCHN in both AC and DC are studied by using the Total Harmonic Distortion (THD) with support on the Fast Fourier Transform (FFT) function.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116620288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150512
Xin Xue, Y. Teh
Electronic speed controller (ESC) is an important sub-system in drones, which is used to control and regulate the speed of its electric motor. For low-cost drones, simple control scheme such as six-step commutation brushless DC (6S-BLDC) control is used. This paper presents an analysis method to study the power quality delivered by 6S-BLDC control based on discrete Fourier transform (DFT) over the measured motor current. As proof of concept, a 6S-BLDC ESC implemented in a generic 32-bit microcontroller is studied. Findings show that the power quality and motor dynamic performance of 6S-BLDC ESC depends on motor speed, gate driver modulation period but is relatively insensitive to microcontroller supply voltage and clock frequency used in the prototype.
{"title":"Power Quality Evaluation of Six-Step Commutation Brushless DC Motor Implemented on 32-Bit ARM Cortex Microcontroller","authors":"Xin Xue, Y. Teh","doi":"10.1109/SusTech47890.2020.9150512","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150512","url":null,"abstract":"Electronic speed controller (ESC) is an important sub-system in drones, which is used to control and regulate the speed of its electric motor. For low-cost drones, simple control scheme such as six-step commutation brushless DC (6S-BLDC) control is used. This paper presents an analysis method to study the power quality delivered by 6S-BLDC control based on discrete Fourier transform (DFT) over the measured motor current. As proof of concept, a 6S-BLDC ESC implemented in a generic 32-bit microcontroller is studied. Findings show that the power quality and motor dynamic performance of 6S-BLDC ESC depends on motor speed, gate driver modulation period but is relatively insensitive to microcontroller supply voltage and clock frequency used in the prototype.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123543341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150486
Long Cheng, Hao Chang, Kexin Wang, Zhaoqi Wu
Indoor positioning system plays an important role in smart grid. Although GPS is the predominant outdoor positioning technology, it is unsuitable to be used in many fields of smart grid for three main reasons: first, signals sent from GPS could easily get blocked by solid materials such as metal or brick; second, the complex electromagnetic interference induced by electrical circuits greatly affects GPS signals; third, GPS can only achieve meter-level real time positioning accuracy, which is far from sufficient for many requirements of smart grid applications. Some other indoor positioning technologies, such as Bluetooth, Wi-Fi, ultrasound, infrared and RFID, fail in either the positioning accuracy, the positioning range, or the positioning speed required in many smart grid applications. Therefore, this paper proposes a real time indoor positioning system for smart gird based on a more promising technology, ultra-wideband (UWB). UWB is suitable for real-time localization in smart grid because UWB has short radio frequency pulse duration and wide bandwidth, which can minimize the effects of multipath interference and allow for high-resolution ranging and easier material penetration. In addition, since high-accuracy position information is required in many smart grid fields, a comprehensive framework integrating several artificial intelligence techniques, including outlier detection, line-of-sight/non-line-of-sight classification, filter design, range measurement correction and maximum likelihood localization estimation, is also proposed to further improve the positioning accuracy. At last, the performance of this system is verified through a series of experiments.
{"title":"Real Time Indoor Positioning System for Smart Grid based on UWB and Artificial Intelligence Techniques","authors":"Long Cheng, Hao Chang, Kexin Wang, Zhaoqi Wu","doi":"10.1109/SusTech47890.2020.9150486","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150486","url":null,"abstract":"Indoor positioning system plays an important role in smart grid. Although GPS is the predominant outdoor positioning technology, it is unsuitable to be used in many fields of smart grid for three main reasons: first, signals sent from GPS could easily get blocked by solid materials such as metal or brick; second, the complex electromagnetic interference induced by electrical circuits greatly affects GPS signals; third, GPS can only achieve meter-level real time positioning accuracy, which is far from sufficient for many requirements of smart grid applications. Some other indoor positioning technologies, such as Bluetooth, Wi-Fi, ultrasound, infrared and RFID, fail in either the positioning accuracy, the positioning range, or the positioning speed required in many smart grid applications. Therefore, this paper proposes a real time indoor positioning system for smart gird based on a more promising technology, ultra-wideband (UWB). UWB is suitable for real-time localization in smart grid because UWB has short radio frequency pulse duration and wide bandwidth, which can minimize the effects of multipath interference and allow for high-resolution ranging and easier material penetration. In addition, since high-accuracy position information is required in many smart grid fields, a comprehensive framework integrating several artificial intelligence techniques, including outlier detection, line-of-sight/non-line-of-sight classification, filter design, range measurement correction and maximum likelihood localization estimation, is also proposed to further improve the positioning accuracy. At last, the performance of this system is verified through a series of experiments.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126408552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150528
T. Masaud
Unlike traditional Microgrids, Provisional Microgrid (PMG) utilizes only renewable generation and small energy storage; thus, it does not have self-islanding capability and instead relies on importing power from a coupled microgrid (CMG) for islanding purposes. This paper proposes a scheduling optimization model to determine optimal scheduling of wind power curtailment for islanded provisional microgrid with an objective to minimize operation cost and ensure generation-demand balance. The impact of the seasonal net load variability on the model performance has been investigated in this work. The scheduling problem is formulated as a Mixed Integer Linear Programming (MILP) problem and solved using CPLEX tool. Numerical results demonstrate the effectiveness of the proposed model.
{"title":"Optimal Seasonal Wind Curtailment for Islanded Provisional Microgrid Operation","authors":"T. Masaud","doi":"10.1109/SusTech47890.2020.9150528","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150528","url":null,"abstract":"Unlike traditional Microgrids, Provisional Microgrid (PMG) utilizes only renewable generation and small energy storage; thus, it does not have self-islanding capability and instead relies on importing power from a coupled microgrid (CMG) for islanding purposes. This paper proposes a scheduling optimization model to determine optimal scheduling of wind power curtailment for islanded provisional microgrid with an objective to minimize operation cost and ensure generation-demand balance. The impact of the seasonal net load variability on the model performance has been investigated in this work. The scheduling problem is formulated as a Mixed Integer Linear Programming (MILP) problem and solved using CPLEX tool. Numerical results demonstrate the effectiveness of the proposed model.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130402147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150483
Ivy Running, Dylan Sellers, P. Ramaraj, P. McMullin
Air pollution is one of the biggest problems facing Ulaanbaatar, and coal-burning stoves in thousands of traditional yurts (gers) surrounding the city are a significant contributor to the pollution. A team of students developed a DIY retrofit insulation system, consisting of radiant barrier, clear plastic, and EPS foam, that would allow coal stoves to be replaced by a small electric heater. This eliminated the production of pollutants from the ger, made the air in the ger cleaner, and made the home more comfortable by giving residents effortless control of the temperature inside.
{"title":"Clean Air with a Mongolian Ger","authors":"Ivy Running, Dylan Sellers, P. Ramaraj, P. McMullin","doi":"10.1109/SusTech47890.2020.9150483","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150483","url":null,"abstract":"Air pollution is one of the biggest problems facing Ulaanbaatar, and coal-burning stoves in thousands of traditional yurts (gers) surrounding the city are a significant contributor to the pollution. A team of students developed a DIY retrofit insulation system, consisting of radiant barrier, clear plastic, and EPS foam, that would allow coal stoves to be replaced by a small electric heater. This eliminated the production of pollutants from the ger, made the air in the ger cleaner, and made the home more comfortable by giving residents effortless control of the temperature inside.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121187798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.1109/SusTech47890.2020.9150502
Y. Mahajan, D. Krishnaswamy, P. Chelliah
In this paper, we propose a distributed edge+cloud system to assist with microlending services to communities, with machine learning catered to that specific community. A combination of technologies including microservices-based architecture and blockchain technology coupled with machine learning is utilized to provide microfinancing services to help sustain businesses in a local community, and to enable the community to grow into a thriving economy. To minimize the widespread expressed risk, in our prototype, the prediction of whether a loan will default or not is based on the various decision-enabling parameters and on any available information about the borrowers' past transaction as well as aggregate metrics related to the community that the borrower resides in. The authors hope that the suggested distributed edge+cloud architecture in the paper can be leveraged for other emerging sustainable edge applications as well.
{"title":"MiSA - A System for a Microlending Service to Assist Edge Communities","authors":"Y. Mahajan, D. Krishnaswamy, P. Chelliah","doi":"10.1109/SusTech47890.2020.9150502","DOIUrl":"https://doi.org/10.1109/SusTech47890.2020.9150502","url":null,"abstract":"In this paper, we propose a distributed edge+cloud system to assist with microlending services to communities, with machine learning catered to that specific community. A combination of technologies including microservices-based architecture and blockchain technology coupled with machine learning is utilized to provide microfinancing services to help sustain businesses in a local community, and to enable the community to grow into a thriving economy. To minimize the widespread expressed risk, in our prototype, the prediction of whether a loan will default or not is based on the various decision-enabling parameters and on any available information about the borrowers' past transaction as well as aggregate metrics related to the community that the borrower resides in. The authors hope that the suggested distributed edge+cloud architecture in the paper can be leveraged for other emerging sustainable edge applications as well.","PeriodicalId":184112,"journal":{"name":"2020 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126296175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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