Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Simona Vasilica Oprea"'
Publikováno v:
PeerJ Computer Science, Vol 9, p e1750 (2023)
Cryptocurrencies have emerged as a popular investment vehicle, prompting numerous efforts to predict market trends and identify metrics that signal periods of volatility. One promising approach involves leveraging on-chain data, which is unique to cr
Externí odkaz:
https://doaj.org/article/49bb3394c26440c5be6850be7835ec25
Why Is More Efficient to Combine BeautifulSoup and Selenium in Scraping For Data Under Energy Crisis
Autor:
Simona Vasilica Oprea, Adela Bâra
Publikováno v:
Ovidius University Annals: Economic Sciences Series, Vol XXII, Iss 2, Pp 145-152 (2022)
The electricity prices are often sensitive data that pose challenges in terms of collection. The volatility and soaring prices make the day-ahead electricity markets appealing for scientists. Several events took place from 2020, such as COVID-19 an
Externí odkaz:
https://doaj.org/article/649555db307c4c62a4a728e4e4497b02
Publikováno v:
IEEE Access, Vol 9, Pp 168715-168730 (2021)
In this paper, we propose a cloud-based big data processing approach to evaluate the flexibility potential of commercial buildings by type and benefits for the owners. The pandemic times changed electricity consumption patterns with a substantial imp
Externí odkaz:
https://doaj.org/article/bf1ec68e68874fa9b36d8e32d6ac05d5
Autor:
Saeed Teimourzadeh, Osman Bulent Tor, Mahmut Erkut Cebeci, Adela Bara, Simona Vasilica Oprea, Sabri Murat Kisakurek
Publikováno v:
IEEE Access, Vol 8, Pp 193238-193247 (2020)
The impressive advantages offered by of demand-side participation have accelerated deployment of demand response (DR) programs. However, the first step to attain the benefits of DR programs is to increase awareness level of the customers. This paper
Externí odkaz:
https://doaj.org/article/e910c91fbb824632abbb96cc94d31d49
Publikováno v:
IEEE Access, Vol 7, Pp 13050-13067 (2019)
Big data frameworks enable companies from various fields to build models that allow them to increase profit margins by improving decision making at different levels (middle management, senior management, and board) or by attempting to boost sales by
Externí odkaz:
https://doaj.org/article/50697064929940128ef41eeb36e8af12
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 7, Iss 4, Pp 705-715 (2019)
This paper deals with optimal scheduling of networked microgrids (NMGs) considering resilience constraints. The proposed scheme attempts to mitigate the damaging impacts of electricity interruptions by effectively exploiting NMG capabilities. A three
Externí odkaz:
https://doaj.org/article/f3aec6006a4c4c42afe92fcd625b054a
Publikováno v:
Ovidius University Annals: Economic Sciences Series, Vol XIX, Iss 2, Pp 334-344 (2019)
One of the most important and well-known characteristics of the electricity is the necessity to balance almost perfectly the load with generation for each moment of the power system operation. This characteristic, coming from the very beginnings of t
Externí odkaz:
https://doaj.org/article/441005c1f7b74b99a02980cd8f1b8446
Autor:
Simona Vasilica Oprea, Adela Bâra
Publikováno v:
Ovidius University Annals: Economic Sciences Series, Vol XIX, Iss 1, Pp 266-271 (2019)
In this paper, we propose a big data solution architecture for the efficient operation of the microgrids that have emerged as a consequence of distributed generation, storage systems and advances of ICT technologies. The main goal is to develop a sma
Externí odkaz:
https://doaj.org/article/456d6a6a231548e3a0daf431964ec4c9
Publikováno v:
Database Systems Journal, Vol IX, Iss 1, Pp 48-57 (2018)
The power management system targets three major sectors: energy production, market trading and energy consumption. Energy consumption management is based on optimization models and methods that are implemented with actual system data. In order to ide
Externí odkaz:
https://doaj.org/article/50b156e74ee2427eacb996126d4632a8
Autor:
Simona Vasilica OPREA
Publikováno v:
Database Systems Journal, Vol VI, Iss 3, Pp 11-18 (2016)
High volume of data is gathered via sensors and recorded by smart meters. These data are processed at the electricity consumer and grid operators' side by big data analytics. Electricity consumption optimization offers multiple advantages for both co
Externí odkaz:
https://doaj.org/article/1a8b3332af0a4bca9dc4f412b5a907d0