Biblio

Providing a global understanding of privacy is crucial, because everything is connected. Nowadays companies are providing their customers with more services that will give them more access to their data and daily activity; electricity companies are marketing the new smart meters as a new service with great benefit to reduce the electricity usage by monitoring the electricity reading in real time. Although the users might benefit from this extra service, it will compromise the privacy of the users by having constant access to the readings. Since the smart meters will provide the users with real electricity readings, they will be able to decide and identify which devices are consuming energy in that specific moment and how much it will cost. This kind of information can be exploited by numerous types of people. Unauthorized use of this information is an invasion of privacy and may lead to much more severe consequences. This paper will propose an algorithm approach for the comparison and analysis of Smart Meter data readings, considering the time and temperature factors at each second to identify the use patterns at each house by identifying the appliances activities at each second in time complexity O(log(m)).

The paper focuses on one of the methods of designing a highly-automated hardware-software complex aimed at controlling the security of power grids and units that support both central heating and power systems of smart cities. We understand this condition as a situation when any energy consumers of smart cities will be provided with necessary for their living amounts of energy and fuel at any time, including possible periods of techno genic and natural hazards. Two main scientific principles lie in the base of the approach introduced. The first one is diversification of risks of energy security of smart cities by rational choosing the different energy generation sources ratio for fuel-energy balance of a smart city, including large fuel electric power plants and small power autonomous generators. For example, they can be wind energy machinery of sun collectors, heat pipes, etc. The second principle is energy efficiency and energy saving of smart cities. In our case this principle is realized by the high level of automation of monitoring and operation of security status of energy systems and complexes that provide the consumers of smart cities with heat, hot water and electricity, as well as by preventive alert of possible emergencies and high reliability of functioning of all energy facilities. We formulate the main principle governing the construction of a smart hardware-software complex used to maintain a highly-automated control over risks connected with functioning of both power sources and transmission grids. This principle is for open block architecture, including highly autonomous block-modules of primary registration of measuring information, data analysis and systems of automated operation. It also describes general IT-tools used to control the risks of supplying smart cities with energy and shows the structure of a highly-automated system designed to select technological and managerial solutions for a smart city's energy supply system.