Forecast of electricity consumption: A comparison of ARIMA and neural networks

Theodoros Pseftelis; Constandinos Mavromoustakis; George Mastorakis; Periklis Chatzimisios; Evangelos K. Markakis; Evangelos Pallis; Jordi Mongay Batalla

Forecast of electricity consumption: A comparison of ARIMA and neural networks

Theodoros Pseftelis
, Constandinos Mavromoustakis
, George Mastorakis
, Periklis Chatzimisios
, Evangelos K. Markakis
, Evangelos Pallis
, Jordi Mongay Batalla

Department of Computer Science

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

Original language	English
Title of host publication	Intelligent Wireless Communications
Publisher	Institution of Engineering and Technology
Pages	381-397
Number of pages	17
ISBN (Electronic)	9781839530951
Publication status	Published - 1 Jan 2021

UN SDGs

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

SDG 7 Affordable and Clean Energy

Cite this

@inbook{a319276bc5c94c098f3cd11b9f86cead,

title = "Forecast of electricity consumption: A comparison of ARIMA and neural networks",

author = "Theodoros Pseftelis and Constandinos Mavromoustakis and George Mastorakis and Periklis Chatzimisios and Markakis, \{Evangelos K.\} and Evangelos Pallis and Batalla, \{Jordi Mongay\}",

year = "2021",

month = jan,

day = "1",

language = "English",

pages = "381--397",

booktitle = "Intelligent Wireless Communications",

publisher = "Institution of Engineering and Technology",

}

TY - CHAP

T1 - Forecast of electricity consumption

T2 - A comparison of ARIMA and neural networks

AU - Pseftelis, Theodoros

AU - Mavromoustakis, Constandinos

AU - Mastorakis, George

AU - Chatzimisios, Periklis

AU - Markakis, Evangelos K.

AU - Pallis, Evangelos

AU - Batalla, Jordi Mongay

PY - 2021/1/1

Y1 - 2021/1/1

UR - https://www.scopus.com/pages/publications/85114980680

M3 - Chapter

AN - SCOPUS:85114980680

SP - 381

EP - 397

BT - Intelligent Wireless Communications

PB - Institution of Engineering and Technology

ER -

Forecast of electricity consumption: A comparison of ARIMA and neural networks

UN SDGs

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Cite this