A financial professional within the energy industry, Sudeep Moniz works at NIC Holding Corporation in Melville, New York. In addition to his professional responsibilities, Sudeep Moniz maintains an interest in trends and developments related to renewable energy.
One emerging trend in renewable energy revolves around artificial intelligence. As the global demand for clean, reliable energy grows, providers are finding that inconsistencies related to weather conditions can adversely affect supply and demand. When there is not enough wind, solar, or hydroelectric power being produced, existing power grids must be utilized more. Likewise, renewable sources can produce more energy than needed, requiring the excess to be stored. Solutions using artificial intelligence are being put into place to address these issues.
There is great potential for artificial intelligence systems to aid in predicting and managing energy produced by clean sources. AI also could make data-driven decisions related to maintenance, repair, and monitoring of the mechanical functions of equipment.
Such systems also could compile complex analytics to help operators manage and monitor production in real-time, so they can make adjustments as necessary. Factors such as grid volatility, consumer behavior, and forecast energy consumption are analyzed, interpreted, and assimilated into useful data that can guide decisions by renewable operators.
With the in-depth data provided by artificial intelligence systems, operators can make necessary changes in production and management to optimize the amount of energy produced by renewable assets. As a result, clean energy can be available on a more consistent, reliable basis.
One emerging trend in renewable energy revolves around artificial intelligence. As the global demand for clean, reliable energy grows, providers are finding that inconsistencies related to weather conditions can adversely affect supply and demand. When there is not enough wind, solar, or hydroelectric power being produced, existing power grids must be utilized more. Likewise, renewable sources can produce more energy than needed, requiring the excess to be stored. Solutions using artificial intelligence are being put into place to address these issues.
There is great potential for artificial intelligence systems to aid in predicting and managing energy produced by clean sources. AI also could make data-driven decisions related to maintenance, repair, and monitoring of the mechanical functions of equipment.
Such systems also could compile complex analytics to help operators manage and monitor production in real-time, so they can make adjustments as necessary. Factors such as grid volatility, consumer behavior, and forecast energy consumption are analyzed, interpreted, and assimilated into useful data that can guide decisions by renewable operators.
With the in-depth data provided by artificial intelligence systems, operators can make necessary changes in production and management to optimize the amount of energy produced by renewable assets. As a result, clean energy can be available on a more consistent, reliable basis.
