Informatics solutions for smart trading on wholesale electricity markets containing RES bidders

Adela Bara; Simona Vasilica Oprea; Adina Uta; Osman Bulent Tor; Mahmut Erkut Cebeci

doi:10.1145/3134302.3134327

Informatics solutions for smart trading on wholesale electricity markets containing RES bidders

Adela Bara
, Simona Vasilica Oprea
, Adina Uta
, Osman Bulent Tor
, Mahmut Erkut Cebeci

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents an informatics solution that aims to assist energy suppliers in setting up their bids on wholesale electricity markets. The solution is developed into a cloud computing platform as an online dashboard, including the following components: consumption optimization and forecasting, generation forecasting, advanced data analytics, and decision rules. These components require a complex data integration model that gathers data from different sources such as: smart meters and appliances, SCADA systems and wholesale electricity market.

Original language	English
Title of host publication	Computer Systems and Technologies
Subtitle of host publication	18th International Conference, CompSysTech 2017 - Proceedings
Editors	Angel Smrikarov, Boris Rachev
Publisher	Association for Computing Machinery
Pages	219-225
Number of pages	7
ISBN (Electronic)	9781450352345
DOIs	https://doi.org/10.1145/3134302.3134327
Publication status	Published - 23 Jun 2017
Externally published	Yes
Event	18th International Conference on Computer Systems and Technologies, CompSysTech 2017 - Ruse, Bulgaria Duration: 23 Jun 2017 → 24 Jun 2017

Publication series

Name	ACM International Conference Proceeding Series
Volume	Part F132086

Conference

Conference	18th International Conference on Computer Systems and Technologies, CompSysTech 2017
Country/Territory	Bulgaria
City	Ruse
Period	23/06/17 → 24/06/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Data Integration
Databases
SCADA
Smart Metering
Wholesale Electricity Market

Access to Document

10.1145/3134302.3134327

Cite this

Bara, A., Oprea, S. V., Uta, A., Tor, O. B., & Cebeci, M. E. (2017). Informatics solutions for smart trading on wholesale electricity markets containing RES bidders. In A. Smrikarov, & B. Rachev (Eds.), Computer Systems and Technologies: 18th International Conference, CompSysTech 2017 - Proceedings (pp. 219-225). (ACM International Conference Proceeding Series; Vol. Part F132086). Association for Computing Machinery. https://doi.org/10.1145/3134302.3134327

Bara, Adela ; Oprea, Simona Vasilica ; Uta, Adina et al. / Informatics solutions for smart trading on wholesale electricity markets containing RES bidders. Computer Systems and Technologies: 18th International Conference, CompSysTech 2017 - Proceedings. editor / Angel Smrikarov ; Boris Rachev. Association for Computing Machinery, 2017. pp. 219-225 (ACM International Conference Proceeding Series).

@inproceedings{0e317c9349d040d48eb8a1bec52eba6c,

title = "Informatics solutions for smart trading on wholesale electricity markets containing RES bidders",

abstract = "This paper presents an informatics solution that aims to assist energy suppliers in setting up their bids on wholesale electricity markets. The solution is developed into a cloud computing platform as an online dashboard, including the following components: consumption optimization and forecasting, generation forecasting, advanced data analytics, and decision rules. These components require a complex data integration model that gathers data from different sources such as: smart meters and appliances, SCADA systems and wholesale electricity market.",

keywords = "Data Integration, Databases, SCADA, Smart Metering, Wholesale Electricity Market",

author = "Adela Bara and Oprea, \{Simona Vasilica\} and Adina Uta and Tor, \{Osman Bulent\} and Cebeci, \{Mahmut Erkut\}",

note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 18th International Conference on Computer Systems and Technologies, CompSysTech 2017 ; Conference date: 23-06-2017 Through 24-06-2017",

year = "2017",

month = jun,

day = "23",

doi = "10.1145/3134302.3134327",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "219--225",

editor = "Angel Smrikarov and Boris Rachev",

booktitle = "Computer Systems and Technologies",

address = "United States",

}

Bara, A, Oprea, SV, Uta, A, Tor, OB & Cebeci, ME 2017, Informatics solutions for smart trading on wholesale electricity markets containing RES bidders. in A Smrikarov & B Rachev (eds), Computer Systems and Technologies: 18th International Conference, CompSysTech 2017 - Proceedings. ACM International Conference Proceeding Series, vol. Part F132086, Association for Computing Machinery, pp. 219-225, 18th International Conference on Computer Systems and Technologies, CompSysTech 2017, Ruse, Bulgaria, 23/06/17. https://doi.org/10.1145/3134302.3134327

Informatics solutions for smart trading on wholesale electricity markets containing RES bidders. / Bara, Adela; Oprea, Simona Vasilica; Uta, Adina et al.
Computer Systems and Technologies: 18th International Conference, CompSysTech 2017 - Proceedings. ed. / Angel Smrikarov; Boris Rachev. Association for Computing Machinery, 2017. p. 219-225 (ACM International Conference Proceeding Series; Vol. Part F132086).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Informatics solutions for smart trading on wholesale electricity markets containing RES bidders

AU - Bara, Adela

AU - Oprea, Simona Vasilica

AU - Uta, Adina

AU - Tor, Osman Bulent

AU - Cebeci, Mahmut Erkut

PY - 2017/6/23

Y1 - 2017/6/23

N2 - This paper presents an informatics solution that aims to assist energy suppliers in setting up their bids on wholesale electricity markets. The solution is developed into a cloud computing platform as an online dashboard, including the following components: consumption optimization and forecasting, generation forecasting, advanced data analytics, and decision rules. These components require a complex data integration model that gathers data from different sources such as: smart meters and appliances, SCADA systems and wholesale electricity market.

AB - This paper presents an informatics solution that aims to assist energy suppliers in setting up their bids on wholesale electricity markets. The solution is developed into a cloud computing platform as an online dashboard, including the following components: consumption optimization and forecasting, generation forecasting, advanced data analytics, and decision rules. These components require a complex data integration model that gathers data from different sources such as: smart meters and appliances, SCADA systems and wholesale electricity market.

KW - Data Integration

KW - Databases

KW - SCADA

KW - Smart Metering

KW - Wholesale Electricity Market

UR - https://www.scopus.com/pages/publications/85038419025

U2 - 10.1145/3134302.3134327

DO - 10.1145/3134302.3134327

M3 - Conference contribution

AN - SCOPUS:85038419025

T3 - ACM International Conference Proceeding Series

SP - 219

EP - 225

BT - Computer Systems and Technologies

A2 - Smrikarov, Angel

A2 - Rachev, Boris

PB - Association for Computing Machinery

T2 - 18th International Conference on Computer Systems and Technologies, CompSysTech 2017

Y2 - 23 June 2017 through 24 June 2017

ER -

Bara A, Oprea SV, Uta A, Tor OB, Cebeci ME. Informatics solutions for smart trading on wholesale electricity markets containing RES bidders. In Smrikarov A, Rachev B, editors, Computer Systems and Technologies: 18th International Conference, CompSysTech 2017 - Proceedings. Association for Computing Machinery. 2017. p. 219-225. (ACM International Conference Proceeding Series). doi: 10.1145/3134302.3134327

Informatics solutions for smart trading on wholesale electricity markets containing RES bidders

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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