<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>As smart grids increase, the scope of power dispatch systems has broadened, encompassing not just traditional dispatch services but also multifaceted information services, encompassing data fusion, heterogeneous system integration, and big data analytics. However, managing intricate information businesses like big data analysis poses numerous challenges for the current power dispatch system, hindering its ability to keep up with escalating business demands. We introduce a cloud computing and big data analytics-based design scheme for a power dispatch data processing and automation management system to address this. Leveraging the distributed computing prowess of cloud computing platforms, the system ensures swift processing and analysis of vast power dispatch data. Additionally, by harnessing big data analysis techniques, the system delves into historical data, uncovers potential operational patterns and risk areas, and offers insights for optimizing the Electric Power System’s (EPS) operations. Experimental outcomes demonstrate the system’s remarkable proficiency in enhancing data processing, real-time control, and automation management capabilities, thereby bolstering the growth of intelligent power dispatch systems with robust technical backing.</p>
</abstract>

As smart grids increase, the scope of power dispatch systems has broadened, encompassing not just traditional dispatch services but also multifaceted information services, encompassing data fusion, heterogeneous system integration, and big data analytics. However, managing intricate information businesses like big data analysis poses numerous challenges for the current power dispatch system, hindering its ability to keep up with escalating business demands. We introduce a cloud computing and big data analytics-based design scheme for a power dispatch data processing and automation management system to address this. Leveraging the distributed computing prowess of cloud computing platforms, the system ensures swift processing and analysis of vast power dispatch data. Additionally, by harnessing big data analysis techniques, the system delves into historical data, uncovers potential operational patterns and risk areas, and offers insights for optimizing the Electric Power System’s (EPS) operations. Experimental outcomes demonstrate the system’s remarkable proficiency in enhancing data processing, real-time control, and automation management capabilities, thereby bolstering the growth of intelligent power dispatch systems with robust technical backing.

Cloud Computing Based Data Processing and Automated Management of Power Dispatch

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Cloud Computing Based Data Processing and Automated Management of Power Dispatch"}

As smart grids increase, the scope of power dispatch systems has broadened, encompassing not just traditional dispatch services but also multifaceted...

Cloud Computing Based Data Processing and Automated Management of Power Dispatch

Data publikacji: 13 cze 2024

Zakres stron: -

Otrzymano: 03 mar 2024

Przyjęty: 17 maj 2024

DOI: https://doi.org/10.2478/amns-2024-1483

Słowa kluczowe
Cloud computing, Power dispatch, Data processing, Automated management

© 2024 Shu Yucheng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Cloud Computing Based Data Processing and Automated Management of Power Dispatch

Data publikacji: 13 cze 2024

Zakres stron: -

Otrzymano: 03 mar 2024

Przyjęty: 17 maj 2024

DOI: https://doi.org/10.2478/amns-2024-1483

Słowa kluczoweCloud computing, Power dispatch, Data processing, Automated management

© 2024 Shu Yucheng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Cloud computing, Power dispatch, Data processing, Automated management