Digital Transformation Path of Manually Collected Meter Reading Data
Pubblicato online: 07 dic 2023
Pagine: 26 - 32
Ricevuto: 02 ott 2023
Accettato: 10 nov 2023
DOI: https://doi.org/10.2478/bhee-2023-0015
Parole chiave
© 2023 Andrea Hrustemović et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
The global trend of digital transformation is not reserved for those sectors and businesses that are highly dependent on information technology (IT) solutions, but even for those traditional energy companies that still need to pass the long way to maximize green energy, automation and full trajectory of modernizing energy distribution. In energy distribution system Public Enterprise Electric Utility of Bosnia and Herzegovina (PE EP B&H), only around sixteen percent of meters are part of Advanced Metering Management (AMM) system and their data is ready to be used for different data analysis using business intelligence, while data collection from other meters is still done manually, and those one will probably not be replaced as long as they are operable. Main problem that PE EP B&H experienced in digitalization of meter reading data was to overcome readings that meter readers collected and wrote on paper lists.