New York State Contract Reporter #Q26-7770AL

NYPA Capacity Forecast and Modeling Solution Procurement

The New York Power Authority (NYPA) is seeking a Capacity Forecast and Modeling Solution to modernize and automate its capacity market forecasting processes. - Government Buyer: - New York Power Authority (NYPA), WPO Procurement division - Contracting office located at 123 Main Street, White Plains, NY - Products/Services Requested: - Capacity Forecast and Modeling Solution (software tool or suite) - Must forecast capacity market aspects (price, reserve requirements, demand curve slope, total market cost, capacity accreditation factors) for New York's capacity zones over a 20-30 year horizon - Must automate data retrieval and integration from internal and external sources (e.g., NYISO Gold Book, GE MAPS) - Should improve upon current Excel-based processes by reducing user training, execution time, and errors - Must support advanced analytics, robust reporting, and flexible scenario analysis - Required integration with NYPA enterprise systems (SAP S/4HANA, Procore, Workday, ServiceNow, Primavera, Maximo, OpenText Content Server) - Security requirements: industry-standard encryption, SOC 2 Type II or equivalent, disaster recovery - Implementation, integration, and ongoing support/maintenance services - Unique/Notable Requirements: - Solution must support both long-term (20-30 years) and short-term forecasting - Vendors must demonstrate experience with similar integrations and provide relevant project history in New York State - No specific OEMs or vendors are named; open to all qualified providers - Place of Performance: - NYPA White Plains Office, 123 Main Street, White Plains, NY - Statewide application across New York State

Description

The New York Power Authority (NYPA) is soliciting proposals to pre-qualify vendors and applications for portfolio and project management activities related to capacity forecasting and modeling. The RFQ seeks a modeling solution capable of forecasting capacity market aspects, including price forecasts, reserve requirements, demand curve slope, total market cost, and capacity accreditation factors for New York's capacity zones over a 20-30 year horizon. The solution should improve upon the existing Excel-based process by automating data retrieval, reducing user training and forecast execution time, and minimizing user errors. Vendors must propose applications that provide the necessary outputs, describe automation and training, and detail the forecasting methodology including any customization or enhancement experience.

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