How to use artificial intelligence to reduce energy bills?

Enterprises seeking to achieve zero-carbon goals and save the planet have become an important mission, and environmental sustainability is also a focus for companies. Additionally, as energy costs continue to rise, reducing gas and electricity consumption has become a key business goal, but how to achieve this goal remains a question. Many large enterprises are struggling to collect the information they need. to gain a complete understanding of when, where and how they use energy, and where waste exists. Capturing and analyzing the large amounts of data involved can be a complex task

The reason for most people is the scale and complexity of the task they face. For example, an organization operating 100 buildings with an average of 10 meters per location could create more than 17.5 million records per year. It must then process all of this data to get a complete and accurate picture of its energy use and spending. For example, a larger multinational enterprise may operate 55,000 properties globally, which makes the scope of processing and assimilating data more complex.

However, there is now a way to get these types of data. By deploying artificial intelligence (AI)-driven software tools to capture, measure and analyze large amounts of energy data, actionable insights can be generated that enable businesses to significantly improve energy efficiency. Leveraging machine learning capabilities, these tools enable enterprises to achieve sustainability and cost reduction goals , businesses need to first determine how to capture this information. In any retail store, office building, hotel, shopping mall, medical facility, or any other commercial building, sensors can be deployed to track and manage foot traffic, air quality, desk occupancy, meeting room usage, system logins, and building usage Other Day-to-Day Aspects

To get a handle on energy usage, businesses need to have all their data in one place. The solution for many businesses is to use AI-driven applications to automatically collect all applicable building data and then analyze and report on it.

AI technology is critical to making sense of the large amounts of complex data that need to be processed in a timely manner. The result of this is that businesses have complete visibility into power consumption. They can then identify common, often overlooked areas of energy waste within their real estate portfolio and act accordingly

achieve real results

All types of businesses can’t Ignoring the problem of energy waste, whether for cost considerations or corporate rationality, their management boards have become aware of this

In one case, a retailer's analysis found that in In one of their stores, the escalator connecting the four floors has never been closed in the past five years, not even at night. Another example is that the British Carlsberg enterprise successfully used energy management technology to Electricity usage during the brewing process was reduced by 10%, while water consumption was also reduced by 10% and wastewater costs were reduced by 16%. As another example, Apleona, Europe's leading real estate and facilities management company, has adopted a centralized system to report carbon emissions and identify energy-saving measures. In a typical project, energy consumption was reduced by 25%

In each case, the AI ​​energy management system uses data to reveal ways to make incremental improvements that can significantly reduce costs. On average, energy consumption can be reduced by 30%

Leveraging Artificial Intelligence for Green Progress

As time goes by, Artificial Intelligence is playing an increasingly critical role in businesses. It helps businesses better position themselves to meet sustainability standards for their rental and real estate portfolios

Businesses with large real estate portfolios understand that extracting large amounts of data from multiple leases and making sense of it is possible is an expensive process. Doing manual lease abstraction to get detailed information about sustainability compliance for individual properties not only consumes a lot of staff time, but also takes a long time to get the information you need when the business needs it

Artificial Intelligence Driven contract intelligence solutions can quickly complete such processes by scanning data from corporate leases and other documents. This means these processes may only take days or even hours to complete, depending on the size of your business operations. By comparison, without the use of a contract intelligence solution, these processes could take weeks or months to complete. For example, a managing agent handling more than 2,000 rental properties could leverage artificial intelligence to drive of Connected Intelligence Solutions to establish environmental practices and compliance across all properties he manages. The company can benchmark its assets in energy ratings and performance, waste handling and facilities, sustainable materials use, and other areas related to environmental protection

Rewritten: With this analysis, companies can quickly collect and evaluate information from hundreds or even thousands of contracts. Each contract is typically hundreds of pages long, and this information is used to create a "green scorecard" for each asset managed. Having this information enables businesses to address environmental sustainability criteria when negotiating new leases and prepare to meet future environmental requirements

New strategic needs

For all types and sizes For businesses, energy management has become a strategic issue that, if not worthy of attention, then should. Leveraging AI capabilities and analytics tools makes good business sense. Having a clearer understanding of energy usage not only allows companies to make smarter decisions, but also allows them to become a better corporate citizen

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