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ZENODO
Article . 2020
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
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Optimizing Utility Operations through Intelligent Software Infrastructure

Authors: Joseph Aaron Tsapa;

Optimizing Utility Operations through Intelligent Software Infrastructure

Abstract

Utilities increasingly demand to improve sustainability, dependability, and efficiency in changing energy markets. Utility businesses must adopt technological developments and brilliant software infrastructure to meet these needs. The critical role that intelligent software infrastructure plays in streamlining utility operations is examined in this white paper. Utilities can increase customer experience, optimize asset management, and expedite procedures using data analytics, AI, and sophisticated optimization algorithms. Through case studies and analysis, this paper illustrates the concrete advantages of incorporating intelligent software infrastructure into utility operations.

Keywords

Optimization, Demand forecasting, Renewable energy integration, Customer satisfaction, Utility operations, Data analytics, Predictive maintenance, Intelligent software, Artificial intelligence (AI), Grid stability

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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