Certified Professional in Energy Data Analytics & Optimization (CPEAO) Training Course

 Module 1: Foundations of Energy Data and Metering Systems

ü  Understanding the energy value chain and data sources

ü  Types of energy data: Interval, consumption, generation, and operational

ü  Introduction to Smart Metering Infrastructure (AMI) and its data streams

ü  Data standards and interoperability in the energy sector

ü  Practical Session: Data sourcing and initial sanity checks on a sample smart meter dataset

 Module 2: Data Wrangling and Exploration for Energy Datasets

ü  Techniques for data cleaning, handling missing values, and outlier detection in time series

ü  Feature engineering from raw energy data (e.g., creating temporal and weather features)

ü  Exploratory Data Analysis (EDA) for identifying consumption patterns and correlations

ü  Data visualization best practices for energy profiles and consumption anomalies

ü  Practical Session: Cleaning and visualizing a raw building energy consumption dataset using Python/R

Module 3: Energy Load Forecasting and Time Series Analysis

ü  Introduction to classical time series models (ARIMA, Exponential Smoothing)

ü  Machine learning models for short-term and long-term load forecasting (e.g., Regression, Random Forests, Neural Networks)

ü  Incorporating external factors: Weather normalization and holiday effects

ü  Evaluating forecast accuracy and model selection criteria

ü  Practical Session: Developing and comparing an ARIMA and a machine learning model for next-day load forecasting

 Module 4: Machine Learning for Energy Anomaly Detection and Diagnostics

ü  Statistical and ML-based techniques for detecting unusual energy consumption (e.g., Isolation Forest, One-Class SVM)

ü  Diagnostic energy analytics course: Root cause analysis of anomalies (equipment failure, faulty controls)

ü  Developing and training baselines for performance monitoring

ü  Condition monitoring and predictive maintenance using energy data

ü  Practical Session: Implementing an anomaly detection algorithm to flag equipment malfunction based on consumption data

 Module 5: Energy Performance Measurement and Verification (M&V)

ü  Introduction to M&V protocols (e.g., IPMVP) and their importance

ü  Creating a robust baseline model for energy savings calculation

ü  Regression analysis for quantifying savings from energy efficiency projects

ü  Statistical tests and uncertainty analysis in M&V

ü  Practical Session: Calculating and reporting verified energy savings for a hypothetical retrofitting project

Module 6: Optimization Techniques for Demand-Side Management (DSM)

ü  Load shifting, peak shaving, and load curtailment strategies

ü  Introduction to optimization algorithms (e.g., Linear Programming) for minimizing energy cost

ü  Modeling and analysis of battery storage and thermal storage for optimization

ü  Real-time pricing (RTP) and critical peak pricing (CPP) response energy analytics course

ü  Practical Session: Building a linear programming model to optimize HVAC schedules for peak demand reduction

 Module 7: Analytics for Smart Grids and Utility Operations

ü  Distribution grid data and state estimation using sensor data

ü  Predictive maintenance for transformers and grid assets

ü  Identifying and reducing technical and non-technical energy losses

ü  Customer segmentation and personalized energy services

ü  Practical Session: Analyzing power quality data to identify sources of system inefficiency

 Module 8: Renewable Energy Analytics and Integration

ü  Forecasting solar and wind power generation using meteorological data

ü  Performance ratio (PR) analysis and fault detection in renewable energy assets

ü  Grid impact analysis of distributed renewable energy resources (DERs)

ü  Optimizing hybrid systems (Solar + Storage + Grid)

ü  Practical Session: Developing a generation forecast model for a solar farm using weather variables

 Module 9: Energy Economics, Trading, and Risk Analysis

ü  Understanding energy market structures and price components

ü  Modeling and forecasting wholesale energy prices

ü  Risk analysis in energy procurement and hedging strategies

ü  Financial valuation of energy efficiency and distributed generation projects

ü  Practical Session: Performing a Monte Carlo simulation for energy price risk assessment

 Module 10: Building an Enterprise-Level Energy Analytics Framework

ü  Selecting and integrating hardware, software, and cloud platforms (IoT, Data Lakes)

ü  Data governance, security, and privacy in the energy sector

ü  Developing and deploying predictive models into production environments

ü  Best practices for creating executive dashboards and automated reporting

ü  Practical Session: Designing a high-level architecture for a corporate energy analytics course platform

About Our Trainers

Our trainers are seasoned professionals with over 15 years of industry experience in energy analytics course, data science, and utility operations. They hold advanced degrees (Master's/PhD) in Electrical Engineering, Data Science, or related fields and have successfully led multi-million-dollar energy efficiency and grid modernization projects across various regions. Their expertise spans practical implementation, from deploying smart grid solutions and developing AI-powered forecasting models to providing high-level strategic consulting for major utilities and Fortune 500 companies. They are active members of professional bodies like IEEE and are published authors in the field, ensuring the training content is current, rigorous, and directly applicable to real-world challenges.

Quality Statement

Phoenix Center for Policy, Research and Training is committed to delivering training of the highest standard. Our energy analytics course curriculum is meticulously reviewed and updated by industry experts to ensure it reflects the latest technological advancements and best practices in the global energy sector. We focus on providing actionable, practical knowledge through a blend of theoretical rigor and hands-on application, guaranteeing that participants leave with skills they can immediately implement in their roles. Our dedication to quality is underpinned by our NITA approval, which is a testament to the recognized value and robustness of our programs.

Tailor-Made Courses

We understand that every organization has unique challenges and opportunities as well as unique training needs. Phoenix Training Center offers tailor-made courses designed to address specific requirements and challenges faced by your team or organization. Whether you need a customized curriculum, a specific duration, or on-site delivery, we can adapt our expertise to provide a training solution that perfectly aligns with your objectives. We can customize this Course to focus on your industry, specific risk profile, or internal stakeholder dynamics. Contact us to discuss how we can create a bespoke training program that maximizes value and impact for your team.  For further inquiries, please contact us on Tel: +254720272325 / +254737296202 or Email training@phoenixtrainingcenter.com

Admission Criteria

ü  Participants should be reasonably proficient in English. 

ü  Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.

Terms and Conditions

ü  Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

ü  What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

ü  Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

ü  The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

ü  Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training. Or call us on +254720272325 / +254737296202

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

ü  Groups of 5 People and Above – Cheque Payments to: Phoenix Center for Policy, Research and Training Limited should be paid in advance, 5 days to the training.

ü  Invoice: We can send a bill directly to you or your company.

ü  Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

ü  Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

ü  Participants may cancel attendance 14 days or more prior to the training commencement date.

ü  No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Accommodation and Airport Transfer

For physical training attendees, we can assist with recommendations for accommodation near the training venue. Airport pick-up services can also be arranged upon request to ensure a smooth arrival. Please inform us of your travel details in advance if you require these services. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737296202