Corrigendum to “State-of-charge estimation of IoT devices using genetic algorithm-optimized long short-term memory networks under real-world conditions”(Energy Reports, (2025), 14, C, (5309-5329), (S2352484725007292), 10.1016/j.egyr.2025.11.109)

Omer Ali; Mohamad Khairi Ishak; Khalid Ammar; Chia Ai Ooi; Ashraf Bani Ahmad

doi:10.1016/j.egyr.2025.109001

Corrigendum to “State-of-charge estimation of IoT devices using genetic algorithm-optimized long short-term memory networks under real-world conditions”(Energy Reports, (2025), 14, C, (5309-5329), (S2352484725007292), 10.1016/j.egyr.2025.11.109)

Omer Ali
, Mohamad Khairi Ishak
, Khalid Ammar
, Chia Ai Ooi
, Ashraf Bani Ahmad

South East Technological University
Universiti Sains Malaysia
Al-Balqa Applied University

Research output: Contribution to journal › Comment/debate

Abstract

The authors regret The corresponding author is updated, Dr Khalid Ammar. The authors would like to apologise for any inconvenience caused.

Original language	English
Article number	109001
Journal	Energy Reports
Volume	15
DOIs	https://doi.org/10.1016/j.egyr.2025.109001
State	Published - Jun 2026

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Ali, O., Ishak, M. K., Ammar, K., Ooi, C. A., & Ahmad, A. B. (2026). Corrigendum to “State-of-charge estimation of IoT devices using genetic algorithm-optimized long short-term memory networks under real-world conditions”(Energy Reports, (2025), 14, C, (5309-5329), (S2352484725007292), 10.1016/j.egyr.2025.11.109). Energy Reports, 15, Article 109001. https://doi.org/10.1016/j.egyr.2025.109001

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title = "Corrigendum to “State-of-charge estimation of IoT devices using genetic algorithm-optimized long short-term memory networks under real-world conditions”(Energy Reports, (2025), 14, C, (5309-5329), (S2352484725007292), 10.1016/j.egyr.2025.11.109)",

abstract = "The authors regret The corresponding author is updated, Dr Khalid Ammar. The authors would like to apologise for any inconvenience caused.",

author = "Omer Ali and Ishak, \{Mohamad Khairi\} and Khalid Ammar and Ooi, \{Chia Ai\} and Ahmad, \{Ashraf Bani\}",

note = "Publisher Copyright: {\textcopyright} 2025 The Authors.",

year = "2026",

month = jun,

doi = "10.1016/j.egyr.2025.109001",

language = "English",

volume = "15",

journal = "Energy Reports",

issn = "2352-4847",

publisher = "Elsevier Ltd",

}

Ali, O, Ishak, MK , Ammar, K, Ooi, CA & Ahmad, AB 2026, 'Corrigendum to “State-of-charge estimation of IoT devices using genetic algorithm-optimized long short-term memory networks under real-world conditions”(Energy Reports, (2025), 14, C, (5309-5329), (S2352484725007292), 10.1016/j.egyr.2025.11.109)', Energy Reports, vol. 15, 109001. https://doi.org/10.1016/j.egyr.2025.109001

Corrigendum to “State-of-charge estimation of IoT devices using genetic algorithm-optimized long short-term memory networks under real-world conditions”(Energy Reports, (2025), 14, C, (5309-5329), (S2352484725007292), 10.1016/j.egyr.2025.11.109). / Ali, Omer; Ishak, Mohamad Khairi ; Ammar, Khalid et al.
In: Energy Reports, Vol. 15, 109001, 06.2026.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Corrigendum to “State-of-charge estimation of IoT devices using genetic algorithm-optimized long short-term memory networks under real-world conditions”(Energy Reports, (2025), 14, C, (5309-5329), (S2352484725007292), 10.1016/j.egyr.2025.11.109)

AU - Ali, Omer

AU - Ishak, Mohamad Khairi

AU - Ammar, Khalid

AU - Ooi, Chia Ai

AU - Ahmad, Ashraf Bani

PY - 2026/6

Y1 - 2026/6

N2 - The authors regret The corresponding author is updated, Dr Khalid Ammar. The authors would like to apologise for any inconvenience caused.

AB - The authors regret The corresponding author is updated, Dr Khalid Ammar. The authors would like to apologise for any inconvenience caused.

UR - https://www.scopus.com/pages/publications/105027556669

U2 - 10.1016/j.egyr.2025.109001

DO - 10.1016/j.egyr.2025.109001

M3 - Comment/debate

AN - SCOPUS:105027556669

SN - 2352-4847

VL - 15

JO - Energy Reports

JF - Energy Reports

M1 - 109001

ER -

Corrigendum to “State-of-charge estimation of IoT devices using genetic algorithm-optimized long short-term memory networks under real-world conditions”(Energy Reports, (2025), 14, C, (5309-5329), (S2352484725007292), 10.1016/j.egyr.2025.11.109)

Abstract

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