Esnet Systems Wins KRW 11 Billion Project to Build Integrated AI Operations System for Korea District Heating Corp.
IT DAILY ·
✦ AI Summary
Esnet Systems won a KRW 11 billion project ordered by Korea District Heating Corp. to build an "AI-based integrated power and district heating operations system."
The project will use AI to forecast district heating heat demand and integrate the entire energy operations process, including heat and power production planning, power trading, and real-time monitoring.
Esnet Systems will participate as the consortium's lead contractor, with specialized companies such as Korea KDN joining the project and Esnet Systems overseeing the project as a whole.
Esnet Systems said on the 17th that it has won a KRW 11 billion project ordered by Korea District Heating Corp. to build an "AI-based integrated power and district heating operations system." Esnet Systems will participate as the consortium's lead contractor in the project.
The project will use AI to forecast district heating heat demand and, based on the results, establish heat and power production plans while integrating the management of key operations, including electricity trading. Through this, it plans to integrate the entire energy operations process, from AI-based heat demand forecasting to production planning, power trading, and real-time monitoring.
Esnet Systems said the project goes beyond simply supplementing the AI functions of existing systems. It said this is a project to intelligentize and automate the entire energy operations process centered on data and AI, and described it as an "end-to-end AX project."
The consortium also includes specialized companies such as Korea KDN, with Esnet Systems overseeing the project as a whole.
The project focuses on tying together functions scattered across forecasting, planning, trading, and monitoring into a single operating system and ensuring that data flows seamlessly. As it carries out the project, Esnet Systems will connect AI-based heat demand forecasting, short- and medium- to long-term heat and power production planning, power trading, real-time monitoring, an energy information platform, and a heat trading platform into a core integrated operations system. It also plans to build a data linkage foundation between key tasks, from demand forecasting to production planning, power trading, and monitoring.
In the process, it will advance some existing manual- and experience-dependent operations into an AI algorithm-based intelligent system. By using AI, it will improve the accuracy of heat demand forecasting and link the forecast results with optimization algorithms for short- and medium- to long-term heat and power production planning. It will then connect this to automated power trading bids and real-time monitoring, implementing an AX system across the entire energy operations process, from forecasting to planning, trading, and monitoring.
The system build approach is not a one-size-fits-all deployment of a generic solution. The system is designed as a customer-tailored AX system that reflects Korea District Heating Corp.'s specialized heat and power production and operations infrastructure. Esnet Systems will take charge of the data, project management, and system interface (API) areas and lead the project overall.
An Esnet Systems official said the project will serve as an opportunity to expand the company's AI- and data-driven business capabilities on the back of its accumulated IT infrastructure and system integration (SI) expertise. The official added that the company aims to create tangible change by applying AI to customers' core business processes, rather than simply introducing technology, and to strengthen its position as an AX partner by supporting AI transformation for customers across various industries in the future.
Source: IT DAILY · Yang Seung-gap
Original: https://www.itdaily.kr/news/articleView.html?idxno=241677
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Source: IT DAILY
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