Derleme

Big Data in Smart Energy Systems: A Critical Review

Cilt: 11 Sayı: 41 5 Ağustos 2020
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Big Data in Smart Energy Systems: A Critical Review

Öz

Climate change is an undeniable fact. Considering that two-thirds of greenhouse gas emissions originate from the energy sector, it is expected that the world's energy system will be transformed with renewable energy sources. Energy efficiency will be continuously increased. Reducing energy-related carbon dioxide emissions is the heart of the energy transition. Big data in energy systems play a crucial role in evaluating the adaptive capacity and investing more smartly to manage energy demand and supply. Indeed, the impact of the smart energy grid and meters on smart energy systems provide and assist decision-makers in transforming energy production, consumption, and communities. This study reviews the literature for aligning big data and smart energy systems and criticized according to regional perspective, period, disciplines, big data characteristics, and used data analytics. The critical review has been categorized into present themes. The results address issues, including scientific studies using data analysis techniques that take into account the characteristics of big data in the smart energy literature and the future of smart energy approaches. The manuscripts on big data in smart energy systems are a promising issue, albeit it is essential to expand subjects through comprehensive interdisciplinary studies

Anahtar Kelimeler

Kaynakça

  1. Aman, S., Simmhan, Y., & Prasanna, V. K. (2015). Holistic measures for evaluating prediction models in smart grids. IEEE Transactions on Knowledge and Data Engineering, 27(2), 475–486. https://doi.org/10.1109/TKDE.2014.2327022
  2. Anderson, B., Lin, S., Newing, A., Bahaj, A. B., & James, P. (2017). Electricity consumption and household characteristics: Implications for census-taking in a smart metered future. Computers, Environment and Urban Systems. https://doi.org/10.1016/j.compenvurbsys.2016.06.003
  3. Annual Energy Outlook 2019. (2019). https://doi.org/DOE/EIA-0383(2012) U.S.
  4. Bedingfield, S., Alahakoon, D., Genegedera, H., & Chilamkurti, N. (2018). Multi-granular electricity consumer load profiling for smart homes using a scalable big data algorithm. Sustainable Cities and Society, 40, 611–624. https://doi.org/10.1016/j.scs.2018.04.006
  5. Chou, J. S., & Ngo, N. T. (2016). Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns. Applied Energy, 177, 751–770. https://doi.org/10.1016/j.apenergy.2016.05.074
  6. Chui, K. T., Lytras, M. D., & Visvizi, A. (2018). Energy sustainability in smart cities: Artificial intelligence, smart monitoring, and optimization of energy consumption. Energies, 11(11), 2869. https://doi.org/10.3390/en11112869
  7. Clifton, A. (2013). Using Machine Learning to Create Turbine Performance Models.
  8. Climate Transparency. (2018). Brown to Green: the G20 Transition to A Low-Carbon Economy.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Derleme

Yayımlanma Tarihi

5 Ağustos 2020

Gönderilme Tarihi

10 Nisan 2020

Kabul Tarihi

17 Temmuz 2020

Yayımlandığı Sayı

Yıl 2020 Cilt: 11 Sayı: 41

Kaynak Göster

APA
Seçkin Codal, K., Arı, İ., & İlter, H. K. (2020). Big Data in Smart Energy Systems: A Critical Review. AJIT-e: Academic Journal of Information Technology, 11(41), 11-26. https://doi.org/10.5824/ajite.2020.02.001.x
AMA
1.Seçkin Codal K, Arı İ, İlter HK. Big Data in Smart Energy Systems: A Critical Review. AJIT-e. 2020;11(41):11-26. doi:10.5824/ajite.2020.02.001.x
Chicago
Seçkin Codal, Keziban, İzzet Arı, ve H. Kemal İlter. 2020. “Big Data in Smart Energy Systems: A Critical Review”. AJIT-e: Academic Journal of Information Technology 11 (41): 11-26. https://doi.org/10.5824/ajite.2020.02.001.x.
EndNote
Seçkin Codal K, Arı İ, İlter HK (01 Ağustos 2020) Big Data in Smart Energy Systems: A Critical Review. AJIT-e: Academic Journal of Information Technology 11 41 11–26.
IEEE
[1]K. Seçkin Codal, İ. Arı, ve H. K. İlter, “Big Data in Smart Energy Systems: A Critical Review”, AJIT-e, c. 11, sy 41, ss. 11–26, Ağu. 2020, doi: 10.5824/ajite.2020.02.001.x.
ISNAD
Seçkin Codal, Keziban - Arı, İzzet - İlter, H. Kemal. “Big Data in Smart Energy Systems: A Critical Review”. AJIT-e: Academic Journal of Information Technology 11/41 (01 Ağustos 2020): 11-26. https://doi.org/10.5824/ajite.2020.02.001.x.
JAMA
1.Seçkin Codal K, Arı İ, İlter HK. Big Data in Smart Energy Systems: A Critical Review. AJIT-e. 2020;11:11–26.
MLA
Seçkin Codal, Keziban, vd. “Big Data in Smart Energy Systems: A Critical Review”. AJIT-e: Academic Journal of Information Technology, c. 11, sy 41, Ağustos 2020, ss. 11-26, doi:10.5824/ajite.2020.02.001.x.
Vancouver
1.Keziban Seçkin Codal, İzzet Arı, H. Kemal İlter. Big Data in Smart Energy Systems: A Critical Review. AJIT-e. 01 Ağustos 2020;11(41):11-26. doi:10.5824/ajite.2020.02.001.x