OASES™ - forecasting, optimizing, and maximizing revenues from all assets and portfolios

Maximize renewable energy revenues across all asset portfolios with advanced generation optimization and AI-driven market participation

The OASES™ Energy Management System by BrightSource Energy is a cloud-hosted, modular platform designed to optimize and enhance renewable energy resources such as photovoltaics, battery storage, microgrids, wind turbines, and electric vehicle charging stations.

OASES™ reduces operational costs and maximizes revenues through forecasting, advanced generation optimization, AI-driven market participation, and automated bidding. It features digital-twin technology for optimal planning and sizing, ensuring efficient and sustainable operations.

Adaptable to any asset type and size, OASES™ quickly adjusts to market and regulatory changes, supporting diverse business policies and technologies. With cutting-edge data visualization and collaborative tools, OASES™ drives profitability and sustainability in the renewable energy sector.

Energy Management System

Revenue Optimization

OASES™ maximizes the economic benefits of energy assets. The system optimizes dispatch strategies by employing AI-driven advanced algorithms, market price modeling, demand forecasting, and production forecasting.

Aggregation and portfolio management

OASES™ aggregates multiple energy assets such as solar PV, battery storage, wind, and electric vehicle (EV) charging stations into an extended synergetic portfolio, optimizing their collective performance and revenue potential.

Planning, benchmarking, and digital-twins

OASES™ facilitates optimal planning and sizing, ensuring alignment with market needs and financial goals. Simulating realistic real-life scenarios and using digital twins of components and subsystems enables historical analysis of performance and operational metrics to help extend the lifespan of assets through enhanced design and operations.

Real-time Monitoring and Control

OASES™ gathers real-time data from diverse sources, including grid infrastructure, distributed energy resources (DERs), weather predictions, and electricity demand. This data provides crucial insights for real-time decision-making and optimization processes.