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Artificial Intelligence is increasingly penetrating people's daily lives, helping to do routine and mechanical tasks dozens of times faster. The main benefit for all of us is the more efficient use of our most important resource - time. Also, Artificial Intelligence plays an important role in improving processes that we don’t really notice – diagnosing and predicting diseases, accelerating the process of creating drugs, automating production and logistics processes, and much more.

Buildings are one of the main sources of electricity consumption. In particular, the global real estate market that consumes about 60 percent of the world’s electricity consumption. In terms of carbon footprint, operating costs, which include the energy needed for heating, ventilation and cooling, account for 28 percent of global CO2 emissions. At the same time, according to Morgan Stanley's Digitalization Index report, the real estate market ranks 33rd out of 34, being one of the most conservative in the field of technology application. Fortunately, this is changing rapidly, which has led to a boom in the emergence of new innovative companies that are ready to offer the real estate market a greater variety of solutions using unique technologies.

Deep Reinforcement Learning

Arloid Automation uses an advanced machine learning approach called Deep Reinforcement Learning, or reinforcement learning, which is used to automate the operation of Refrigeration, Ventilation and Air Conditioning (HVAC) systems. Optimization occurs through the automatic control of each of the connected HVAC devices to the network, in real time, where Artificial Intelligence makes decisions on its own, without human intervention, based on more data flow. This approach allows property managers to achieve up to 30 percent energy optimization over the installed building management system (BMS), while ensuring the proper level of comfort. This is all achieved via a secure Virtual Private Network (VPN).

Arloid.ai has already been applied in a number of countries including Singapore, United Arab Emirates, China and Europe in a wide range of real estate, covering a total area of 1.6 million square meters, covering retail properties, hotels, office buildings, logistics centers and medical facilities.

As an example, after the implementation of the Arloid solution, one of the 320,000 sqm malls in downtown Dubai was able to achieve an 18 percent energy optimization and a 16 percent cold water optimization after the first month of operation. AI managed 93 FCUs (Fan Coil Units) and 30 AHUs (Air Handling Units) in 279 thermal zones, applying 4,428 changes per day, resulting in USD monthly cost savings.

The main advantages of the Arloid solution are that there is no capital cost to start work, the current infrastructure of the building is used, the connection to the building occurs without interruption of operations, and a 10 percent savings guarantee is provided. The application also allows you to:

1. Train at the level of the digital twin of the building for 30 days, which is at least 3 times faster than available solutions on the market

2. For each building, AI is trained separately, which gives personalization in the algorithm

3. Decisions to change the parameters of HVAC devices are applied by AI independently, which allows you to apply unique approaches to optimization.