SAMPLE 01 · SERVICE
기초 데이터 진단
결측, 시간축 불일치, 계량경계, 용도별 소비구조를 점검하고 1차 원단위 KPI를 정의하는 공개용 샘플입니다.
Main outputs
데이터 품질 점검표 · 용도별 소비구조 그래프 · 핵심 KPI 후보 · 우선 진단과제 목록
Demonstration only · Korean sample report
SERVICE SAMPLE REPORTS
Explore sample reports for all six services
These demonstration PDFs show the typical outputs for basic data diagnostics, Baseline & M&V modelling, detailed process/utility analysis, Test & Adjust, continuous performance management, and in-house training.
Important: all figures in the PDFs below are fictional demonstration values. They do not represent a real customer, verified savings, a binding quotation, or a savings guarantee.
SAMPLE 02 · SERVICE
Baseline·M&V 모델 구축
생산량·가동시간·기상변수 등을 활용한 회귀 Baseline과 M&V 평가 절차를 설명하는 샘플입니다.
Main outputs
회귀 Baseline 식 · 적합도·교차검증 통계 · 잔차 진단 · Adjusted Baseline과 Actual 비교표
Demonstration only · Korean sample report
SAMPLE 03 · SERVICE
공정·Utility 정밀분석
공정 및 유틸리티 설비의 효율과 공급·수요 Balance를 분석해 잠재량과 우선순위를 도출하는 샘플입니다.
Main outputs
설비별 KPI 표 · 공급·수요 Balance 도식 · 잠재 절감량 시나리오 · 개선 우선순위
Demonstration only · Korean sample report
SAMPLE 04 · SERVICE
현장 Test & Adjust
기존 운전과 개선 운전을 시험 계획에 따라 비교하고 품질·안정성·에너지 사용량을 검증하는 샘플입니다.
Main outputs
시험 프로토콜 · A/B 테스트 결과표 · 운전조건별 품질·에너지 비교 · 개선 운전기준
Demonstration only · Korean sample report
SAMPLE 05 · SERVICE
지속 성능관리·M&V
월간 Actual vs Adjusted Baseline, 이상운전 탐지, 후속 과제 관리 형식을 보여주는 샘플입니다.
Main outputs
월간 KPI 대시보드 · M&V 요약표 · 이상 알림 목록 · 운영 개선회의 액션아이템
Demonstration only · Korean sample report
SAMPLE 06 · SERVICE
기업 맞춤 교육·내재화
사내 담당자가 직접 KPI, Baseline, M&V, Python/Pandas 분석을 수행할 수 있도록 돕는 교육 샘플입니다.
Main outputs
교육 커리큘럼 · 실습 예제 데이터 · 실무용 템플릿 · 역량 진단 체크리스트
Demonstration only · Korean sample report
How to use the sample reports
- Review the report format and deliverables for each service.
- Focus on the sample closest to your process, equipment, or building type.
- Use the pre-assessment form to ask what can be analysed with your own data.
- Discuss the required data, time horizon, and priority questions.
- Receive a tailored proposal and quotation before starting the project.
- Extend the engagement to Test & Adjust, M&V, or training if needed.
Compare all six sample services at a glance
| Service | Main purpose | Typical input data | Main outputs | Best fit situation |
|---|---|---|---|---|
| 01 Basic data diagnosis | Check data quality and define first-round KPIs | MES, EMS/BEMS, metering list, operation logs | Data quality checklist, consumption breakdown, KPI shortlist | When you need to know where to start |
| 02 Baseline & M&V model | Build an adjusted baseline and an evaluation framework | Baseline/reporting periods, production, weather, runtime | Regression formula, fit statistics, M&V tables | When savings must be explained quantitatively |
| 03 Process & utility analysis | Find losses and ranked saving opportunities | Equipment metering, flow, pressure, temperature, status | KPIs, balances, opportunity scenarios | When utilities or process systems need deeper analysis |
| 04 Test & Adjust | Verify operating changes by controlled tests | Test plan, measurements, quality and production data | Test protocol, condition comparisons, verification results | When you are preparing an operating change |
| 05 Continuous performance M&V | Track monthly performance and early anomalies | Regular operating data, KPI history, event logs | Monthly reports, cumulative trends, alert lists | When ongoing management is required |
| 06 Training & capability building | Build internal analytical capability | Sample internal data, learner level, workshop environment | Training materials, exercises, templates | When your team wants to run KPI/Baseline work internally |
From sample review to engagement
- 01Review service samples
- 02Pre-assessment서 작성
- 03Review scope and data
- 04Discuss proposal and quotation
Could this apply to our site?
Tell us your industry, target systems, available MES/EMS/BEMS data, time period, and business question. We will review the feasible analysis scope and required inputs.