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Keywords: Artificial intelligence
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Journal Articles
International Journal of Energy Sector Management (2022) 16 (2): 318–338.
Published: 16 August 2021
...Farhad Khosrojerdi; Okhaide Akhigbe; Stéphane Gagnon; Alex Ramirez; Gregory Richards Purpose The purpose of this study is to explore the latest approaches in integrating artificial intelligence and analytics (AIA) in energy smart grid projects. Empirical results are synthesized to highlight...
Journal Articles
Franck Armel Talla Konchou, Pascalin Tiam Kapen, Steve Brice Kenfack Magnissob, Mohamadou Youssoufa, René Tchinda
International Journal of Energy Sector Management (2021) 15 (3): 566–577.
Published: 19 January 2021
... − f t ) 2 } © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Artificial intelligence Neural networks Forecasting Wind Wind speed forecasting Artificial neural network Multi-layer perceptron Nonlinear autoregressive network...
Journal Articles
International Journal of Energy Sector Management (2021) 15 (1): 157–172.
Published: 25 September 2020
... works from that area in the following. Artificial intelligence Forecasting Neural networks Electricity Participating in electricity markets requires decision support through accurate forecasts of future prices (Nogales et al., 2002 ; Weron, 2014). This is relevant for various...
Journal Articles
International Journal of Energy Sector Management (2020) 14 (6): 1351–1380.
Published: 07 July 2020
... approaches based on artificial intelligence were introduced and effectively used for solving the ELD problem. These heuristic algorithms are used exceptionally in a unique, improved or hybrid form with other approaches. Numerous artificial intelligence algorithms which are used in their unique manner...
Journal Articles
Luciano Cavalcante Siebert, José Francisco Bianchi Filho, Eunelson José da Silva Júnior, Eduardo Kazumi Yamakawa, Angela Catapan
International Journal of Energy Sector Management (2021) 15 (4): 743–764.
Published: 07 December 2019
... of an intelligent algorithm that can improve its performance with time. Understanding customer satisfaction may improve companies’ performance. Artificial intelligence Energy sector Regression Electricity Residential Distribution Correlation analysis Operation management Machine learning Performance...
Journal Articles
Samrad Jafarian-Namin, Alireza Goli, Mojtaba Qolipour, Ali Mostafaeipour, Amir-Mohammad Golmohammadi
International Journal of Energy Sector Management (2019) 13 (4): 1038–1062.
Published: 05 June 2019
... been developed. Statistical methods and artificial intelligence methods are among six main categories that can be mentioned as popular ones (refer to Chang, 2014 ; for more details). Also, these methods are classified into four parts based on time horizon: ultra-short-term (few minutes to one...
Journal Articles
International Journal of Energy Sector Management (2019) 13 (1): 149–165.
Published: 01 April 2019
... system has an input, output and fuzzy rule. Fuzzy system inputs of Stage 1 are: load value; number of shedding hours; and number of hours from the last shedding time. These data are based on one month before the forecasted day. Artificial intelligence Forecasting Energy...
Journal Articles
International Journal of Energy Sector Management (2019) 13 (4): 828–845.
Published: 21 March 2019
... Jahangoshai Rezaee can be contacted at: m.jahangoshai@uut.ac.ir © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only The fourth layer (result nodes): This layer calculates the outputs of previous layers. Artificial intelligence Forecasting Fuzzy-logic...
Journal Articles
International Journal of Energy Sector Management (2018) 12 (3): 364–385.
Published: 02 May 2018
... Limited 2018 Emerald Publishing Limited Licensed re-use rights only Artificial intelligence Simulation Pricing Forecasting Neural networks Distribution Cost comparison Restructuring ( Δ P l o s s ) b i = Change in active power loss due to change...
Journal Articles
International Journal of Energy Sector Management (2017) 11 (1): 3–27.
Published: 03 April 2017
... on data distribution, i.e. memory-based prediction or fractal self-similarity techniques, might be more useful. Pawel D. Domanski can be contacted at: p.domanski@ia.pw.edu.pl © Emerald Publishing Limited 2017 Emerald Publishing Limited Licensed re-use rights only Artificial...
