Energy & Utilities: Pricing Models and Revenue Optimization
Description
Comprehensive coverage of pricing theory and practice in utilities across regulated and competitive contexts with analytics-driven optimization.
Learning Objectives
Enable learners to design, simulate, and operationalize utility pricing models—time-of-use, real-time pricing, demand charges, green tariffs, subscription offerings—and embed analytics for margin, demand shaping, and fairness while ensuring regulatory compliance.
Topics (7)
Tariff structures, enabling technologies, customer impact modeling, pilot-to-scale playbooks.
Econometric approaches, ML forecasting, segmentation, measurement and verification (M&V).
Cost causation, fairness, simplicity, efficiency, stability; fixed vs variable charges; demand charges.
Prosumer economics, interconnection costs, locational value, distribution impact pricing.
REC-backed products, additionality claims, carbon intensity pricing, disclosure obligations.
MDM/CIS/AMI data correlation, anomaly detection, fraud models, recovery workflows.
Tariff filing, impact assessments, fairness reviews, consumer protection alignment.