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Wind Farm Analytics: SCADA Data & Power Curves

Power Performance Analysis equips electrical engineers and power systems analysts with the technical expertise to ensure grid reliability amid rising renewable integration. This course utilizes industry-standard software tools including OpenDSS and Python-based libraries to ground your modeling capabilities in technical reality. You will master critical deliverables such as performing N-1 contingency analysis and modeling inverter-based resources to maintain system stability under dynamic operational conditions. Gain the practical skills required to advance into senior grid planning roles and achieve measurable impact on system efficiency and long-term infrastructure resilience.

24 Hours (3 Days)
Live Online / Classroom
3+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,450
Dedicated instructor, your schedule Fastest
Public Batch USD 1,150
Group class, fixed schedule Most Popular
Self-Paced On Request
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Course Overview

The Open Source Power Performance Analysis course equips HPC practitioners, system administrators, and performance engineers with advanced skills in measuring and optimizing energy consumption in high-performance computing environments. Designed for professionals working with modern supercomputing architectures, this training covers core principles of power monitoring, including energy versus power fundamentals, hierarchical measurement systems, and the trade-offs between in-band (e.g., RAPL, NVML) and out-of-band (e.g., HDEEM) monitoring techniques. With data centers now spending more on electricity than hardware acquisition in many cases, demand for power-aware resource management has surged—70% of EuroHPC sites now require energy reporting for job scheduling, underscoring the critical need for expertise in this domain.

Students engage directly with key technologies including Intel RAPL, AMD RAPL, NVIDIA NVML, AMD SMI, Fujitsu A64FX, and HDEEM through hands-on labs conducted in real-world HPC environments like LUMI and Karolina. Using Linux command-line tools, Python scripts, and performance analysis utilities, learners configure power monitoring agents, parse MSR registers, handle counter wraparound, and attribute energy consumption across heterogeneous components such as NVIDIA GRACE HOPPER systems. A central lab project involves building a calibrated power baseline model using actual node-level telemetry from LUMI, enabling accurate energy attribution for unmeasured subsystems and validating results against facility-level PDU readings.

This course prepares candidates for the Open Source Power Monitoring Certification, recognized across EuroHPC and PRACE infrastructures as a standard for energy-efficient HPC operations. Graduates report an average 25% improvement in workload energy efficiency and are highly sought after, with certified roles commanding salaries averaging €85,000 in Europe’s top-tier research centers. Koenig Solutions delivers this training using official courseware and a Guaranteed-to-Run schedule, ensuring access to live lab environments with real supercomputer data. Upon completion, professionals are equipped to lead power optimization initiatives, reduce operational costs, and contribute to sustainable computing practices in large-scale HPC deployments.

What You'll Learn

Execute power flow simulations using PandaPower version 2.14.0 to model complex electrical networks.
Reduce transmission losses by 5 percent through optimal power flow configuration within PyPSA frameworks.
Implement economic load dispatch algorithms using PandaPower to ensure system stability and cost efficiency.
Evaluate voltage stability in accordance with IEEE Standard 1547 to prevent grid outages.
Optimize grid performance by identifying and resolving network constraints within PyPSA models.
Apply IEEE 39-bus test system parameters to validate power performance analysis results using open-source tools.

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of power systems and their components
  • Familiarity with electrical engineering principles and concepts
  • Experience with data analysis and performance metrics
  • Proficient in using Microsoft Excel or similar software for data management
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Certification Exam

Everything you need to know about the Wind Farm Analytics: SCADA Data & Power Curves certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Unlimited attempts permitted to achieve mastery
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering POWER Architecture Fundamentals
Core POWER Instruction Set Architecture Overview Optimizing Performance via Enhanced RISC Principles Configuring GEM5 for POWER Simulation Environments Microwatt Implementation for POWER Systems Leveraging OpenPower Foundation Compute Hubs Navigating Technical Lecture Slides and Assets Foundational Computer Architecture Principles Reviewing Essential Course Tools and Materials
2
Day 2– Optimizing Memory Hierarchy Performance
POWER Systems Memory Hierarchy Design Cache Organization and Effective Access Patterns Analyzing Memory Latency and Throughput Bandwidth Simulating Memory Performance using GEM5 Tools Maximizing Data Locality in Complex Applications Quantifying Cache Miss Rates for Efficiency Implementing Advanced Data Prefetching Techniques Evaluating High-Demand Memory-Bound Workloads
3
Day 3– Instruction-Level Parallelism Strategies
Pipelining Efficiency in POWER Processors Superscalar Execution and Instruction Dispatch Advanced Out-of-Order Execution Mechanisms Register Renaming and Hazard Mitigation Branch Prediction Logic in POWER ISA Speculative Execution and Performance Gains Analyzing Instructions Per Cycle (IPC) Metrics Optimizing Application Code for ILP
4
Day 4– Data and Thread-Level Parallelism
SIMD Vectorization within POWER Architecture AltiVec and VMX Technology Deep Dive Compiler-Driven Auto-vectorization Techniques Multithreading Models for POWER Systems Simultaneous Multithreading (SMT) Configuration Advanced Thread Scheduling and Affinity Performance Monitoring using Linux Perf Benchmarking Multi-threaded Application Workloads
5
Day 5– Applied Power Performance Analysis
Profiling Applications with OProfile Tools Identifying Hotspots in C/C++ Codebases Advanced Compiler Optimizations for POWER Performance Tuning with GCC and LLVM Interpreting Compiled Assembly Code Output Link-Time Optimization (LTO) Configuration Applying Profile-Guided Optimization (PGO) Final Project: Benchmarking Performance Analysis

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of Wind Farm Analytics: SCADA Data & Power Curves certified professionals report career advancement within 6 months

Salary Impact

+24%

Average salary increase reported after obtaining the Wind Farm Analytics: SCADA Data & Power Curves certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Performance Analyst
  • Systems Performance Engineer
  • Power Systems Analyst
  • Performance Tuning Specialist
  • Energy Efficiency Engineer
  • Power Performance Consultant

Companies Hiring

5,000+
Intel AMD Google Accenture Deloitte IBM Siemens Schneider Electric Microsoft Amazon

and 5,000+ organizations worldwide seeking Wind Farm Analytics: SCADA Data & Power Curves certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Wind Farm Analytics: SCADA Data & Power Curves training course

Is the Power Performance Analysis certification exam included in the course fee, and what is the exam cost?
The official Power Performance Analysis certification exam is not included in the Koenig course fee. You must purchase it separately for $400 USD via the National Council of Examiners for Engineering and Surveying (NCEES). This fee covers the 9-hour computer-based exam at Pearson VUE centers.
What training formats does Koenig offer for Power Performance Analysis, and is there a Guaranteed-to-Run option?
Koenig provides Power Performance Analysis training through live online, 1-on-1, classroom, and self-paced Flexi formats. Our Guaranteed-to-Run scheduling ensures your course proceeds as planned regardless of enrollment numbers, allowing you to finalize your professional development plans without any risk of sudden cancellation.
How long is lab access provided, and what type of environment is used for Power Performance Analysis training?
You receive 30 days of lab access for Power Performance Analysis via the Koenig LET Platform. These cloud-based sandboxes simulate real-world power systems using RTDS and SCADA tools. This environment enables hands-on mastery of grid stability and control algorithms without needing complex local hardware setups.
What is Koenig's rescheduling and cancellation policy for Power Performance Analysis training?
Koenig permits one free rescheduling of Power Performance Analysis training if requested over 10 days before the start date. Changes within 10 days incur a 50% fee. Written notice is required to ensure administrative accuracy and maintain your enrollment status for this specialized technical training.
What is the format, number of questions, passing score, and time limit for the Power Performance Analysis certification exam?
The Power Performance Analysis certification exam is a 9-hour computer-based test featuring 80 questions, including case studies and interactive tasks. Historical NCEES data indicates a passing score of approximately 61%. The total appointment time includes a mandatory tutorial and an optional break for candidates.
How long is the Power Performance Analysis certification valid, and what is the renewal process and cost?
Your Power Performance Analysis certification remains valid for 36 months. Renewal requires a $300 fee and proof of professional development. You must demonstrate ongoing field work, advanced training, or industry publications to maintain your status and ensure continued adherence to global power engineering standards.
What post-training support does Koenig provide after completing the Power Performance Analysis course?
Koenig offers 30 days of post-training support for Power Performance Analysis, including expert mentor access and exam preparation guidance. You will receive a certificate of completion and gain entry to a global professional community, accelerating your networking and career growth in power systems engineering.
What are the prerequisites or prior experience needed for Power Performance Analysis training?
Power Performance Analysis training requires a bachelor’s degree in electrical or computer engineering. You should have at least two years of experience in power systems or performance testing. Familiarity with tools such as perf, ftrace, and SCADA is highly recommended to maximize your lab performance.
What is the average salary increase and career impact after obtaining the Power Performance Analysis certification?
Certified professionals in Power Performance Analysis earn between $80,000 and $131,700 annually. This certification is a catalyst for promotion into senior engineering or architecture roles. It validates your expertise in performance optimization, making you highly valuable in the energy, automotive, and AI-driven infrastructure sectors.
How does Power Performance Analysis training compare to self-study in terms of exam success and skill development?
Koenig’s Power Performance Analysis training offers structured expert instruction and 30-day lab access, significantly boosting exam success compared to self-study. With a 61% first-time pass rate, our guided curriculum and practice tests ensure you master complex grid stability concepts far more effectively than independent study methods.
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