Big data in evolving energy supply chains

Juha P. Lahti, Petri Helo, Ahm Shamsuzzoha, Kongkiti Phusavat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Utilizing a big data is one of energy sector's future key trends. Energy sector's existing data and financial asset is enormous. Using advantages of the big data by new means of information and communication technologies (ICT) is becoming more interesting and common. This paper gives an updated overview for latest trends in the energy sector from technical and business perspective. Ongoing integration process of multiple ICT system and smart gird implementations create fully new and fascinating opportunities for optimizing nationwide energy policies and practices. Big data combined from networked energy systems architectures enables new business models and optimization possibilities. This paper introduces main ICT systems in energy sector, gives a short overview to the key trends in energy sector today and studies how ongoing changes affect to energy supply chain especially from electricity supply chain perspective. A rising trend and highlighted position of the big data can be recognized in the change driven by advanced ICT related technologies.

Original languageEnglish
Title of host publicationProceedings - 2016 14th International Conference on ICT and Knowledge Engineering, ICT and KE 2016
PublisherIEEE Computer Society
Pages25-30
Number of pages6
ISBN (Electronic)9781509044153
DOIs
Publication statusPublished - Jan 3 2017
Event14th International Conference on ICT and Knowledge Engineering, ICT and KE 2016 - Bangkok, Thailand
Duration: Nov 23 2016Nov 25 2016

Other

Other14th International Conference on ICT and Knowledge Engineering, ICT and KE 2016
CountryThailand
CityBangkok
Period11/23/1611/25/16

Fingerprint

Supply chains
Communication
Energy policy
Industry
Electricity
Big data

Keywords

  • Big data
  • electricity supply chain
  • energy
  • information system
  • smart grid

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Cite this

Lahti, J. P., Helo, P., Shamsuzzoha, A., & Phusavat, K. (2017). Big data in evolving energy supply chains. In Proceedings - 2016 14th International Conference on ICT and Knowledge Engineering, ICT and KE 2016 (pp. 25-30). [7804094] IEEE Computer Society. https://doi.org/10.1109/ICTKE.2016.7804094

Big data in evolving energy supply chains. / Lahti, Juha P.; Helo, Petri; Shamsuzzoha, Ahm; Phusavat, Kongkiti.

Proceedings - 2016 14th International Conference on ICT and Knowledge Engineering, ICT and KE 2016. IEEE Computer Society, 2017. p. 25-30 7804094.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lahti, JP, Helo, P, Shamsuzzoha, A & Phusavat, K 2017, Big data in evolving energy supply chains. in Proceedings - 2016 14th International Conference on ICT and Knowledge Engineering, ICT and KE 2016., 7804094, IEEE Computer Society, pp. 25-30, 14th International Conference on ICT and Knowledge Engineering, ICT and KE 2016, Bangkok, Thailand, 11/23/16. https://doi.org/10.1109/ICTKE.2016.7804094
Lahti JP, Helo P, Shamsuzzoha A, Phusavat K. Big data in evolving energy supply chains. In Proceedings - 2016 14th International Conference on ICT and Knowledge Engineering, ICT and KE 2016. IEEE Computer Society. 2017. p. 25-30. 7804094 https://doi.org/10.1109/ICTKE.2016.7804094
Lahti, Juha P. ; Helo, Petri ; Shamsuzzoha, Ahm ; Phusavat, Kongkiti. / Big data in evolving energy supply chains. Proceedings - 2016 14th International Conference on ICT and Knowledge Engineering, ICT and KE 2016. IEEE Computer Society, 2017. pp. 25-30
@inproceedings{57618f58911143988c4f098ecb4f3bf9,
title = "Big data in evolving energy supply chains",
abstract = "Utilizing a big data is one of energy sector's future key trends. Energy sector's existing data and financial asset is enormous. Using advantages of the big data by new means of information and communication technologies (ICT) is becoming more interesting and common. This paper gives an updated overview for latest trends in the energy sector from technical and business perspective. Ongoing integration process of multiple ICT system and smart gird implementations create fully new and fascinating opportunities for optimizing nationwide energy policies and practices. Big data combined from networked energy systems architectures enables new business models and optimization possibilities. This paper introduces main ICT systems in energy sector, gives a short overview to the key trends in energy sector today and studies how ongoing changes affect to energy supply chain especially from electricity supply chain perspective. A rising trend and highlighted position of the big data can be recognized in the change driven by advanced ICT related technologies.",
keywords = "Big data, electricity supply chain, energy, information system, smart grid",
author = "Lahti, {Juha P.} and Petri Helo and Ahm Shamsuzzoha and Kongkiti Phusavat",
year = "2017",
month = "1",
day = "3",
doi = "10.1109/ICTKE.2016.7804094",
language = "English",
pages = "25--30",
booktitle = "Proceedings - 2016 14th International Conference on ICT and Knowledge Engineering, ICT and KE 2016",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - Big data in evolving energy supply chains

AU - Lahti, Juha P.

AU - Helo, Petri

AU - Shamsuzzoha, Ahm

AU - Phusavat, Kongkiti

PY - 2017/1/3

Y1 - 2017/1/3

N2 - Utilizing a big data is one of energy sector's future key trends. Energy sector's existing data and financial asset is enormous. Using advantages of the big data by new means of information and communication technologies (ICT) is becoming more interesting and common. This paper gives an updated overview for latest trends in the energy sector from technical and business perspective. Ongoing integration process of multiple ICT system and smart gird implementations create fully new and fascinating opportunities for optimizing nationwide energy policies and practices. Big data combined from networked energy systems architectures enables new business models and optimization possibilities. This paper introduces main ICT systems in energy sector, gives a short overview to the key trends in energy sector today and studies how ongoing changes affect to energy supply chain especially from electricity supply chain perspective. A rising trend and highlighted position of the big data can be recognized in the change driven by advanced ICT related technologies.

AB - Utilizing a big data is one of energy sector's future key trends. Energy sector's existing data and financial asset is enormous. Using advantages of the big data by new means of information and communication technologies (ICT) is becoming more interesting and common. This paper gives an updated overview for latest trends in the energy sector from technical and business perspective. Ongoing integration process of multiple ICT system and smart gird implementations create fully new and fascinating opportunities for optimizing nationwide energy policies and practices. Big data combined from networked energy systems architectures enables new business models and optimization possibilities. This paper introduces main ICT systems in energy sector, gives a short overview to the key trends in energy sector today and studies how ongoing changes affect to energy supply chain especially from electricity supply chain perspective. A rising trend and highlighted position of the big data can be recognized in the change driven by advanced ICT related technologies.

KW - Big data

KW - electricity supply chain

KW - energy

KW - information system

KW - smart grid

UR - http://www.scopus.com/inward/record.url?scp=85010773910&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85010773910&partnerID=8YFLogxK

U2 - 10.1109/ICTKE.2016.7804094

DO - 10.1109/ICTKE.2016.7804094

M3 - Conference contribution

SP - 25

EP - 30

BT - Proceedings - 2016 14th International Conference on ICT and Knowledge Engineering, ICT and KE 2016

PB - IEEE Computer Society

ER -