Grid Analytics

Stacked Services Emulator

Acelerex commercially-available Stacked Services Emulator (SSE) software utilizes energy and ancillary service price forecasts to emulate the hourly and sub-hourly dispatch of energy assets including energy storage, hybrid projects, and gensets in wholesale markets. Acelerex SSE also simulates behind-the-meter projects for retail rate optimization, utility demand response participation, and dispatch to critical load resilience.

Energy Price Forecasting

Acelerex’s Price Forecasting module provides accurate, hourly or sub-hourly energy and ancillary price forecasts using the fundamentals-based model and econometric method of Implied Heat Rate (IHR). These short and long-term forecasts are critical for evaluating project revenues, performing asset dispatch calculations, and conducting asset valuation studies.

Nodal Production Cost

Acelerex commercially-available software enables detailed analysis and optimization of energy and ancillary service dispatch at nodal levels, ensuring efficient grid operation and cost-effective resource utilization. Nodal Production Cost modeling supports energy market participants by providing chronological optimization of dispatch, price forecasts, and grid hosting capacities, all while accounting for energy resource constraints and aging effects.

Alternative Analysis

Acelerex commercially-available software provides robust tools for optimizing long-term energy capacity planning, enabling efficient integration of diverse resources to meet grid reliability and economic goals. Alternative Analysis is designed to solve multi-year optimal capacity needs while considering planning reserve margins, operational costs, and advanced renewable clustering.

REX Enterprise Solutions

Acelerex combines decades of energy experience with Acelerex Analytics and Data Services Software (ACE) and monitoring and control software (REX) to deliver robust solutions to our clients.

Data Mining Algorithms

We are helping our clients with multi-stage data mining applications by using big data combined with algorithms …