The article is devoted to topical issues of energy saving management of a business organization.
The concept and essence of saving are considered. Based on the systematization of the totality of
manifestations of saving energy, the following types are distinguished: economic, ecological, ecological-
economic, reputation and social. External and internal factors of saving energy in a business
organization are identified, which reflect the conditions of its operation in the context of saving
energy. It is determined that energy efficiency barriers, which are proposed to be divided into technical-
economic, organizational-behavioral and cognitive, characterize the energy saving process in
terms of restraining factors in improving the efficiency of fuel and energy resources, reflect specific
obstacles within the energy saving process in a particular business organizations and are of an
intra-organizational nature. It is determined that to improve energy saving processes in a business
organization the use cycles of continuous development, in particular, the Deming cycle is advisable.
For the purposes of energy management, the use an appropriate business model that determines
the order of formation of the economic advantage of the entity through energy savings and reflects
a set of solutions that characterize the process of creating value for stakeholders are advisable.
Based on the formalization of the business model of energy efficiency of the business organization,
the use of an saving energy program aimed at removing barriers to energy efficiency and the impact
on internal energy saving factors, as they are the levers that a business organization can influence to
improve energy efficiency, is proposed.
Current networks are designed for peak loads leading to low utilization of power resources. In order to solve this problem, a heuristic energy-saving virtual network embedding algorithm based on the Katz centrality (Katz-VNE) is proposed. For solving an energy-saving virtual network embedding problem, we introduce the Katz centrality to represent the node influence. In order to minimize the energy consumption of the substrate network, the energy-saving virtual network embedding problem is formulated as an integer linear program, and the Katz-VNE is used to solve this problem. The Katz-VNE tries to embed the virtual nodes onto the substrate nodes with high Katz centrality, which is effective, and uses the shortest paths offering the best factor of bandwidths to avoid the hot nodes. The simulation results demonstrate that the long-term average energy consumption of the substrate network is reduced significantly, and the long-term revenue/cost ratio, the acceptance rate of virtual network requests, and the hibernation rate of substrate nodes as well as links are improved significantly.