AI Use Cases For Energy Management

Artificial Intelligence or AI is no longer a buzzword for various industrial applications. Being the biggest technological trends, it is so omnipresent in every sector and disrupting the method of executing tasks in the traditional way. Well, new advances in computer vision, machine learning and deep learning, AI has also added a new dimension to utility and application services that also leverages advanced neural networks. The wonders of AI capability are ever- expanding. Not only does this tool extract data from terabytes of structured and semi-structured sources, but it is equally efficient in acquiring data from unstructured data sources. Then it parses them and identifies different sets of patterns and makes recommendations and predictions based on the analyzed data. So, AI offers better insights in understanding a pattern and helps us develop better solutions for smart applications that are accurate, independent, and real without human interventions. With thousands of use cases of AI being realized by industry leaders and more strategies are being developed for its deployment, the same holds true to the global energy market.

How Energy Production Sector can use AI

AI offers a better scope to be utilized in energy management and meeting demand supply by various industries.

As this global utility sector is seeing a paradigm shift towards efficient energy production and preservation methods to meet the high demand for power supply by consumers, the industry works more on the decentralization and decarbonization. In addition, it is now every sector’s core responsibility to manage the imbalance in demand and supply while preserving it.

For utilities, energy companies and grid operators; renewable energy production is the primary power generation medium in today’s context where fossil-based energy is likely to end soon. Hence, they want to use AI capabilities to enhance easy access to renewable energy and increase thier efficiency across different sectors. AI technology in sync with IoT and big data can help improve management of the grids for renewable power generation while balancing its demands and supply.

Besides improving renewable power production and its supply, AI also aids in the management of energy in different services such as malls, hotels, retails and many other sectors.

AI in energy management

The sustainable challenges for the energy world have always been there. By optimizing the energy at an optimal level, any industries can contribute to better preservation of energy and efficient application without creating wastes.

As explained earlier, AI is opening new opportunities for various services and industries to tap into unmapped data and connect it to the decentralized energy resources.

So, industries can leverage AI capabilities to optimize the use of energy across various sectors and give us real opportunities to address the challenges of the environment.

When used with the core energy system of any organization, AI capabilities in combination with machine learning and deep learning algorithms can easily drive insights into the operations of the energy operations. It then parses the data and suggests an actionable approach to energy management while helping you save costs on unnecessary energy use. It is a real-time approach to reduce energy wastes and build new energy-saving opportunities by optimizing every industry’s energy consumption using untapped data.

SynergyLabs utilizes AI-based technology to let users leverage it to monitor data and other factors in real-time that impact energy consumption. Working on the data from the energy system, our tool offers some recommendations and helps build a model for the staff to create and implement the most efficient strategy to enhance energy efficiency.

Our tool is a customized solution that works in sync with the managers and energy managers of the concerned space. It helps monitor the performance of the system and optimizes energy in a cost-effective manner.

This use case of AI is essential to drive growth at businesses, create an efficient energy-proof environment that allows getting more and increased cost-savings.

For AI-based digital solutions at your organization, you can contact us. We are happier to help you with our robust and advanced AI and machine learning tools.