April 2022
Beginner to intermediate
200 pages
4h 15m
Korean
Content preview from MLOps 도입 가이드
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187
11장 소비예측
다양한 시점 및 지리적 규모에서 수행하는 예측은 전력 그리드 운영에 중요한 역할을 한다. 예
측을 활용하여 시스템의 향후 상태를 시뮬레이션해보고 시스템이 안전하게 작동하도록 할 수
있다.
이번 장에서는 소비 예측을 위한 머신러닝 모델 생애주기 및
MLOps
활용 사례를 통해 비즈니
스 고려 사항, 데이터 수집 및 구현 시 결정 사항들을 살펴보겠다. 전력 그리드에 초점을 맞추
고 있으나, 소비 예측을 활용하는 다른 산업에서도 활용 사례의 고려 사항과 특수성을 일반화
하여 참고할 수 있다.
11.1
전력 시스템
대량 전력 시스템들은 전력 그리드
power grid
의 중추다. 송전망
transmission network
이라고 하는 이 시
스템들은 빛을 유지하는 시스템의 핵심이다. 주로 전력선과 변압기로 구성되고, 대부분의 생산
자 및 소비자와 유통망
distribution network
을 통해 간접적으로 연결된다. 이 유통망은 송전의 마지막
몇 킬로미터 구간을 관리한다. [그림
11
-
1
]에 설명된 바와 같이, 가장 큰 생산자와 소비자만
대량 전력 시스템에 직접 연결된다.
소비 예측
11
CHAPTER
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.