Get a unified view of energy systems and carbon footprint
Overview
Energy management is a building block to minimize greenhouse gas (GHG) emissions. Power utilities should capitalize on artificial intelligence (AI), predictive analytics and IoT for innovative energy management.
Infosys Utilities partners with microgrid services providers and utility enterprises to reduce power consumption, rationalize energy cost, and minimize carbon emissions at manufacturing plants, industrial parks, and smart cities.
Infosys Energy-as-a-Service (EaaS) solution, developed in collaboration with bp, unifies energy assets for centralized energy management. It offers a holistic view of power generation and consumption as well as the carbon footprint. Our cloud-hosted solution monitors energy consumption and efficiency of devices, industrial equipment, and energy-intensive processes across sectors. It applies artificial intelligence (AI) / machine learning (ML) techniques to analyze consolidated data, predict energy demand, and offer real-time insights to optimize consumption.
Our EaaS solution empowers prosumers and utilities to navigate their next and implement a decarbonized energy landscape. Notably, our solution supports utility-led programs for energy efficiency improvement, demand response management, and grid stability.
Infosys capabilities:
Measurable outcomes in terms of energy efficiency, cost optimization, and GHG emissions reduction
Structured approach aligns the energy transition roadmap with sustainability standards and regulations
Expertise in data center energy management
Infosys EaaS provides actionable insights to optimize energy use across lighting, HVAC systems, and process machinery.
Talk to our expertsDrive measurable energy and sustainability outcomes:
- Energy efficiency audit detects excess consumption and energy waste and identifies opportunities to conserve energy.
- Smart configuration optimizes behind-the-meter energy resources, electric vehicle charging, and battery storage systems.
- Analytical solutions predict energy generation from renewable sources and align consumption with peak and off-peak metering governed by time-of-use tariff frameworks.
Challenges & Solutions
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