Utilities
Energy and utilities are among the numerous B2B businesses that will benefit from AI software development. AI can be used in energy and other utilities for a wide variety of applications, including yield optimization, predictive maintenance, load forecasting, demand management, and more. In oil and natural gas, AI is used to create expert systems that help target new sources of fuels. AI will be an important component to optimizing cellular networks, and will become increasingly important in the management of broadband internet networks as well. ArtificialIntelligenceB2B.com is an AI software development company committed to expanding access to custom artificial intelligence solutions at affordable prices for utilities and other B2B businesses. Some of the uses of AI in utilities are further outlined below.
AI in Energy
Yield Optimization
Energy generation at power companies is controlled through a wide range of variables. Artificial intelligence systems have a unique capacity to broadly weigh in a multiplicity of factors to produce actionable intelligence that tangibly improves decision-making. When AI is used in energy production, power generation assets' data is monitored continuously, and generator processes are adjusted as needed to ensure optimal efficiency. For example, AI may monitor how a wind turbine runs to ensure that the most power is extracted in various wind conditions. GE's use of AI for this purpose facilitated as much as a 20% increase in energy production from wind, representing about $100 million in extra revenue over the course of the wind turbine's life.
Predictive Maintenance
Power generators require a variety of maintenance processes to keep in optimal working conditions. Artificial intelligence systems can be designed to receive all monitoring data on power generation systems and determine when particular units may require attention. AI may also be used for automated visual diagnosis facilitated by drones. In both cases, labor spent on manual inspections of units is sharply reduced, and maintenance can be implemented earlier to ensure smoother delivery of power.
Load Forecasting
AI can be used in energy to forecast changes in load, helping power companies better match their generation to changing demands and thus optimize their operations. Changes in power demands are driven by a wide variety of factors, including weather, which by itself can be very difficult to predict. Artificial intelligence solutions are uniquely capable in absorbing a large amount of information and aiding decision-making based on patterns and trends observed in highly complex data sets, making them particularly applicable to use in the energy sector for load forecasting. By ensuring that power generation closely matches demand, energy providers can improve operational efficiency and thus drive better economic outcomes.
Demand Management
AI can be used in energy to manage demand and thus reduce unnecessary power draw. From managing energy storage assets (i.e., batteries) to controlling devices to shift real-time demand, artificial intelligence can predict peaks and troughs in energy usage and optimize the energy production and distribution process to meet customer demands with minimal waste.
Preventing Energy Theft
Particularly useful in developing countries, where theft can account for up to 40% of distributed electricity, artificial intelligence systems can be programmed to detect customer data like usage patterns and payment history and alert energy suppliers of any irregular behavior that may point to energy theft.
Optimizing Cellular Networks
Artificial intelligence will also become increasingly important to cellular networks. Machine learning will be used to automatically adjust network parameters, detect service quality, and address security and network performance needs in real time. AI can also be used for predictive maintenance, and for automated customer service management software, allowing past issues to inform subsequent decisions to prevent problems or suggest specific solutions when they do occur. As the volume of data and customers on networks expands, AI will become increasingly essential to the smooth delivery of cellular services.
Optimizing Broadband Internet Service Providers
Internet broadband delivery represents another area of potential for AI in utilities. Like cellular networks, distribution of services occurs along a complex infrastructure that must meet the varied demands of an ever-growing customer base which fluctuates through time. Machine learning can leverage all available data on past usage based on time of year, day, weather, interactive online events, and more to predict demand surges in local areas and make the changes necessary to support those changes. Machine learning can aid in proactive network maintenance to fix issues before they negatively affect customers. AI can also greatly advantage internet broadband and cable providers by helping to better organize service schedules to satisfy customer demands. By automating a continuous research into all available data and producing actionable intelligence on a consistent basis, AI will help broadband internet service providers (ISPs) provide better service with less active human management.
About ArtificialIntelligenceB2B.com
ArtificialIntelligenceB2B.com is an AI software development company focused on providing high quality custom artificial intelligence solutions to B2B businesses at affordable prices. As a division of DDA, ArtificialIntelligenceB2B.com is built from a 30-year history of continuous innovation in interactive media design and development, having won awards for its virtual medical simulations and P2P deep learning interactive meeting platforms. Learn more about the positive impact of artificial intelligence on B2B businesses by exploring this website, or if you have a particular idea you would like to discuss with us, contact ArtificialIntelligenceB2B.com today.
