BluWave-ai's EV Fleet Orchestrator is an AI-based solution designed to optimize the operation and charging of EV fleets. The system integrates building energy management, local generation, storage, energy purchases, and service levels, providing a holistic view and coordinated energy control. The Orchestrator reduces energy costs and emissions by factoring in energy price, peak demand constraints, and equipment schedules. It interfaces with systems of mixed fleets, considering parameters like ambient temperature, energy prices, and optimal battery cycling. This set-up props up operational efficiency, cost-effectiveness, and sustainability.
- The solution intelligently governs EV fleet charging and dispatch, factoring in energy price, peak demand constraints, and equipment schedules.
- Effective integration of solar generation and battery energy storage, reducing energy costs, and emissions.
- Capable of managing mixed fleets that consists of gas-powered, hybrid, and electric vehicles all considered within optimal operating parameters.
- BluWave-ai advantage with a team of AI and data scientists, business analysts, and smart grid engineers for project-specific optimization.
- The platform operates in real-time, dynamically optimizing energy costs by consolidating the many parameters of energy and fleet operations.
BluWave-ai's EV Fleet Orchestrator is an AI-based solution designed to optimize the operation and charging of EV fleets. The system integrates building energy management, local generation, storage, energy purchases, and service levels, providing a holistic view and coordinated energy control. The Orchestrator reduces energy costs and emissions by factoring in energy price, peak demand constraints, and equipment schedules. It interfaces with systems of mixed fleets, considering parameters like ambient temperature, energy prices, and optimal battery cycling. This set-up props up operational efficiency, cost-effectiveness, and sustainability.
- The solution intelligently governs EV fleet charging and dispatch, factoring in energy price, peak demand constraints, and equipment schedules.
- Effective integration of solar generation and battery energy storage, reducing energy costs, and emissions.
- Capable of managing mixed fleets that consists of gas-powered, hybrid, and electric vehicles all considered within optimal operating parameters.
- BluWave-ai advantage with a team of AI and data scientists, business analysts, and smart grid engineers for project-specific optimization.
- The platform operates in real-time, dynamically optimizing energy costs by consolidating the many parameters of energy and fleet operations.