Changing consumer expectations, environmental concerns, and the growth of a distributed generation of utility services are forcing utilities to find more efficient ways of delivering their services. To acquire more flexibility, utilities need to increase their focus on data-powered services unlocked by modern technologies. Energy, gas, water, telecom, field business, and other infrastructure utilities are adopting innovative, custom technology solutions to modernize their services and delivery patterns. Enterprises can reinvent their business models by leveraging analytics, cloud, IoT, AI, machine learning, and automation utilities. Software that uses machine learning and data analytics to predict when equipment is likely to fail, and proactively perform maintenance and reduce downtime. Software that can help utilities prevent data breaches, detect and respond to cyber-attacks, and ensure regulatory compliance. Despite the fact that environmental regulations are causing power suppliers to turn increasingly to new sources of energy, the underlying factor of their business is efficiency.
With the increased support of the Government and improved economics, the sector has become attractive from an investors perspective. As India looks to meet its energy demand on its own, which is expected to reach 15,820 TWh by 2040, renewable energy is set to play an important role. It also supports the power grid and is relied upon as a reliable energy source. Renewable energy resources such as wind and solar are increasingly being exploited as energy sources as they have low operational costs and are able to meet environmental regulations. On the contrary, renewable energy business has its perks. The renewable power generators are stress-free to turn on and off making them dependable for the power supply when needed. Even without the presence of the sun or the wind blowing, grid operators have the possibility of drawing from energy reserves like in the case of hydroelectric and natural gas energy sources.
A network of sensors, smart meters, and other devices helps to manage better energy distribution, optimize the use of renewable energy sources and reduce costs.
Software that uses machine learning and data analytics to predict when equipment is likely to fail, and proactively perform maintenance and reduce downtime.
Software that can help utilities manage their energy supply and demand, optimizing their use of renewable energy sources and reducing their carbon footprint.
Software that can help utilities prevent data breaches, detect and respond to the cyber-attacks, and ensure regulatory compliance.