Facilitation of automated property management

Abstract

This disclosure describes a solution to enable a real estate property to act as an independent entity. As such, it can detect needs for repairs and improvements, market itself, and earn revenue. The property can work independently or in concert with the owner and other parties in achieving these tasks. A real estate property can benefit from the use of a property management server that can be delegated by the owner of the property to manage the property either independently or in concert with the owner. This server can access and maintain data associated with assets of the property.

What is claimed is: 
     
         1 . A method, comprising:
 training, by a network node device comprising a processor, an artificial intelligence model to predict future conditions of buildings;   receiving, by the network node device, building data representative of characteristics of a building over time;   predicting, by the network node device, via the artificial intelligence model, a future condition of the building based on the characteristics; and   in response to determining that the future condition of the building satisfies a criterion, performing, by the network node device, a building management operation associated with the building and corresponding to the future condition.   
     
     
         2 . The method of  claim 1 , wherein the characteristics comprise:
 a solar power generation characteristic of a solar panel system of the building, and   a power usage characteristic of the building.   
     
     
         3 . The method of  claim 2 , wherein the future condition comprises the building having a surplus of solar power from the solar panel system during a future period of time. 
     
     
         4 . The method of  claim 3 , wherein the building management operation comprises activating a bot program to negotiate a sale of the surplus of the solar power. 
     
     
         5 . The method of  claim 4 , wherein the activating of the bot program to negotiate the sale comprises activating the bot program to research market values applicable to solar power, and, based on the market values, forecast a future value of the surplus of the solar power for the future period of time. 
     
     
         6 . The method of  claim 3 , wherein the characteristics further comprise an environmental characteristic of an environment of the building. 
     
     
         7 . The method of  claim 6 , wherein the future condition further comprises a future environmental characteristic of the environment and a future power usage characteristic of the building, and the surplus of the solar power is predicted based on the future environmental characteristic and the future power usage characteristic. 
     
     
         8 . A system, comprising:
 a processor; and   a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
 training a neural network model to predict future conditions of real properties; 
 obtaining property data representative of characteristics of a real property over time; 
 predicting, via the neural network model, a future condition of the real property based on the characteristics; 
 determining that the future condition of the real property satisfies a criterion; and 
 in response to the determining that the future condition of the real property satisfies the criterion, performing a property management operation associated with the future condition of the real property. 
   
     
     
         9 . The system of  claim 8 , wherein the characteristics comprise:
 a power generation characteristic of a power generation system of the real property, and   a power usage characteristic of the real property.   
     
     
         10 . The system of  claim 9 , wherein the future condition is indicative of surplus power from the power generation system during a future time period. 
     
     
         11 . The system of  claim 10 , wherein the property management operation comprises activating a bot to negotiate a sale of the surplus power by communication with a device associated with a potential buyer of the surplus power. 
     
     
         12 . The system of  claim 11 , wherein the activating of the bot to negotiate the sale comprises activating the bot to research power market values and forecast a future value of the surplus power for the future time period based on the power market values. 
     
     
         13 . The system of  claim 10 , wherein the characteristics further comprise an environmental characteristic of an environment of the real property. 
     
     
         14 . The system of  claim 13 , wherein the future condition is further indicative of a future environmental characteristic of the environment and a future power usage characteristic of the real property, and the surplus power is predicted based on the future environmental characteristic and the future power usage characteristic. 
     
     
         15 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor of network node equipment, facilitate performance of operations, comprising:
 training a machine learning model to predict future conditions of multi-family buildings;   obtaining building data representative of characteristics of a multi-family building over time;   predicting, using an output of the machine learning model, a future condition of the multi-family building based on the characteristics; and   in response to determining that the future condition of the multi-family building satisfies a criterion, performing a building management operation associated with the multi-family building related to the future condition.   
     
     
         16 . The non-transitory machine-readable medium of  claim 15 , wherein the characteristics comprise:
 a renewable energy generation characteristic of a renewable energy generation system of the multi-family building, and   a renewable energy usage characteristic of the multi-family building.   
     
     
         17 . The non-transitory machine-readable medium of  claim 16 , wherein the future condition comprises surplus energy from the renewable energy generation system during a future time period. 
     
     
         18 . The non-transitory machine-readable medium of  claim 17 , wherein the building management operation comprises activating a bot program to negotiate a sale of the surplus energy to a purchaser entity by communicating with purchaser device associated with the purchaser entity. 
     
     
         19 . The non-transitory machine-readable medium of  claim 18 , wherein the activating of the bot program comprises activating the bot program to research energy market values and forecast a future value of the surplus energy for the future time period based on the energy market values. 
     
     
         20 . The non-transitory machine-readable medium of  claim 17 , wherein the characteristics further comprise an environmental characteristic of an environment of the multi-family building, wherein the future condition further comprises a future environmental characteristic of the environment and a future energy usage characteristic of the multi-family building, and wherein the predicting of the future condition comprises predicting the surplus energy based on the future environmental characteristic and the future energy usage characteristic.