Weighted ensemble learning for real‐time short‐term voltage stability assessment with phasor measurements data by Amir Hossein Babaali, Mohammad Taghi Ameli

“…This paper presents a weighted combination of random forest (RF) and LightGBM (LGBM) classifiers to train a time‐series database. One of the main advantages of this paper is using the gradient concept in data preprocessing, which has enhanced performance metrics and reduced the defect of data noise. …”
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Evaluation of a new visualization and analytics solution for slow control data for large scale experiments by Sargsyan Laura, Martins Filipe

“…The proposed solution leverages the new virtualization, data analytics and visualization technologies such as InfluxDB time-series database for faster access large scale data, Grafana to visualize time-series data and an OpenShift container platform to automate build, deployment, and management of application. …”
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C-AQM: A CROWD-SOURCED AIR QUALITY MONITORING SYSTEM by M. E. Parés, F. Vázquez-Gallego

“…The data collected by this system will be stored in a time series database, and it will be available both to city council managers for decision making and to citizens for informative purposes. …”
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IoTDQ: An Industrial IoT Data Analysis Library for Apache IoTDB by Pengyu Chen, Wendi He, Wenxuan Ma, Xiangdong Huang, Chen Wang

“…Apache IoTDB is a time series database designed for the Internet of Things (IoT) with enhanced storage and I/O performance. …”
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Valuing the joint effect of adult literacy and economic growth on renewable energy consumption in African zone by Tanbir Hossain

“…Design/Method/Approach: The research is basically quantitative in nature and 52 African counties have been selected zonal-wise considering time series database from 1990 to 2018 (nearly 29 years). …”
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Spatial Indexing for Data Searching in Mobile Sensing Environments by Yuchao Zhou, Suparna De, Wei Wang, Klaus Moessner, Marimuthu S. Palaniswami

“…Results of the experiments on a real-world dataset collected from the SmartSantander smart city testbed show that the index structure allows efficient search based on spatial distance, range and time windows in a large time series database.…”
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MAPPING AIR QUALITY WITH A MOBILE CROWDSOURCED AIR QUALITY MONITORING SYSTEM (C-AQM) by M. E. Parés, D. Garcia, F. Vázquez-Gallego

“…The data collected by the C-AQM system is stored in a time series database and is available both to city council managers for decision making and to citizens for informative purposes. …”
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Development of a Cognitive Digital Twin for Building Management and Operations by Karim El Mokhtari, Karim El Mokhtari, Ivan Panushev, J. J. McArthur

“…Real-time data is uploaded to a high-performance scalable time-series database, while the ontology is stored on a relational database. …”
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An Optimal Stacked Ensemble Deep Learning Model for Predicting Time-Series Data Using a Genetic Algorithm—An Application for Aerosol Particle Number Concentrations by Ola M. Surakhi, Martha Arbayani Zaidan, Sami Serhan, Imad Salah, Tareq Hussein

“…In this paper, we proposed and tested three machine learning techniques—recurrent neural networks (RNN), heuristic algorithm and ensemble learning—to develop a predictive model for estimating atmospheric particle number concentrations in the form of a time-series database. Here, the RNN included three variants—Long-Short Term Memory, Gated Recurrent Network, and Bi-directional Recurrent Neural Network—with various configurations. …”
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An Application of Bayesian Model Averaging for Investigating of the Relationship Between Monetary Policy variables and Asset Price Fluctuations by Gholamreza Zamanian, Kolsoom Naderpour

“…To this end, the statistics from the economic time-series database of the Central Bank of the Islamic Republic of Iran and other related sources have been used. …”
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Diabetes during the COVID-19 pandemic: are people getting access to the right level of care? by Gideon Meyerowitz-Katz, Shahana Ferdousi, Glen Maberly, Thomas Astell-Burt

“…Methods A retrospective cohort study using a time-series database of 173,805 HbA1c tests done at Blacktown and Mt Druitt hospitals and 1.8 million recorded consultations at GP clinics in the region was undertaken. …”
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Proactive automatic up-scaling for Kubernetes by D. Gutman, O. Syrota

“…Solution is implemented as Java-based application which uses time-series database (InfluxDB in this case) to understand microservice load. …”
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Matrix Profile-Based Approach to Industrial Sensor Data Analysis Inside RDBMS by Mikhail Zymbler, Elena Ivanova

“…In the article, we consider the problem of choosing a Time Series Database Management System (TSDBMS) to provide efficient storing and mining of big sensor data. …”
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Smart and Portable Air-Quality Monitoring IoT Low-Cost Devices in Ibarra City, Ecuador by Vanessa E. Alvear-Puertas, Yadira A. Burbano-Prado, Paul D. Rosero-Montalvo, Pınar Tözün, Fabricio Marcillo, Wilmar Hernandez

“…For this reason, this research presents portable Internet of Things (IoT) environmental monitoring devices that can be installed in vehicles and that send message queuing telemetry transport (MQTT) messages to a server, with a time series database allocated in edge computing. The visualization stage is performed in cloud computing to determine the city air-pollution concentration using three different labels: low, normal, and high. …”
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GEOSPATIAL ANALYSIS OF NEAR-SURFACE SOIL MOISTURE TIME SERIES DATA OVER INDIAN REGION by P. Berwal, C. S. Murthy, P. V. Raju, M. V. R. Sesha Sai

“…The present study has developed the time series database surface soil moisture over India, for June, July and August months for the period of 20 years from 1991 to 2010, using data products generated under Climate Change Initiative Programme of European Space Agency. …”
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Framework for Efficient Auto-Scaling of Virtual Network Functions in a Cloud Environment by Saima Zafar, Usman Ayub, Hend I. Alkhammash, Nasim Ullah

“…In this paper, we propose an integrating framework for efficient auto-scaling of VNF using Gnocchi; a time-series database that is integrated within the framework to store, handle and index the time-series data. …”
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An End-to-End, Real-Time Solution for Condition Monitoring of Wind Turbine Generators by Adrian Stetco, Juan Melecio Ramirez, Anees Mohammed, Siniša Djurović, Goran Nenadic, John Keane

“…Based on a sampling rate of 5 kHz, predictions are stored in an efficient time series database and monitored using a dynamic visualization framework. …”
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Research on key technologies of multi-element monitoring data integration in intelligent mine by LI Guomin, ZHANG Ao, HE Yaoyi, GAO Wen, HUANG Zongliu

“…Data storage: For data with high real-time requirements, the time series database can be selected. For data with low real-time requirements, the relational database can be selected. …”
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Groundwater Level Prediction with Machine Learning to Support Sustainable Irrigation in Water Scarcity Regions by Wanru Li, Mekuanent Muluneh Finsa, Kathryn Blackmond Laskey, Paul Houser, Rupert Douglas-Bate

“…Bilate is typical of areas in Africa with high demand for water and limited availability of well data. Using a non-time series database of 75 boreholes, machine learning models, including multiple linear regression, multivariate adaptive regression splines, artificial neural networks, random forest regression, and gradient boosting regression (GBR), were constructed to predict the depth to the water table. …”
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Spatio-Temporal Semantic Data Model for Precision Agriculture IoT Networks by Mario San Emeterio de la Parte, Sara Lana Serrano, Marta Muriel Elduayen, José-Fernán Martínez-Ortega

“…To validate the model, data from real livestock and crop scenarios, retrieved from the AFarCloud smart farming platform, are modeled according to the proposal. Time-series Database (TSDB) engine InfluxDB is used to evaluate the model against data management. …”
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