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Non-intrusive load monitoring (NILM) systems estimate the amount of energy each appliance consumes using as input the aggregate building energy consumption. Typically, NILM results are presented for a single sampling rate. To evaluate tradeoffs between end-uses and sensor costs, it is important to study the performance of NILM systems across sampling rates. In this work, we examine the performance...
The city considered in a Smart City, and that include the smart grid in the energy system. Effective supply electricity to a smart city require detailed profile loads of the main users in the Smart Grid. Each consumer have a different load profile depending of the daily activities and time of day such as workday or holiday and season. In this paper we introduce a model for load profile of the users...
In modern conditions, the functioning and management of electric power systems requires the creation of a computational model for large-scale schemes based on methods for estimating the state. Such schemes are not fully observable, data may be distorted, their synchronization is poor and, as a consequence, the adoption of incorrect decisions based on the calculation model. At present, the agent approach...
Recently, smart campus projects that will improve quality of the services they received and the daily activities of students and employees in the campus environment, have been put into practise. The smart campus includes issues such as increasing energy efficiency, facilitating transportation, parking area control, provision of access to multiple services with card systems, information systems, monitoring...
HEART - an innovative EU H2020 funded project - recently took off with the goal of concretely tackling technical, economic and social aspects related to climate change and building energy consumptions.
Smart grid is an emerging technology for the generation, distribution and utilization of energy resources in the modern world. Major countries such as UK, USA and Germany are involved in the research and development of cloud-based smart grid technologies. Some of the common characteristics of these technologies include real time monitoring of production, distribution and usage, emission control, fraud...
Peak demand has been increasing in recent years due to the population growth, new technologies and user preferences. Besides, the cost of electricity is considerably higher than other type of energies. For this reason, it is necessary to pay attention to the consumption of electricity. Increase in energy costs and energy demand has also made energy efficiency compulsory. Electrical appliances and...
Smart homes or the homes of the future will be equipped with advanced technologies for user comfort and entertainment. Intelligent systems will be available to ensure this comfort and reliability. With these technological advancements comes further energy management. The concept of domestic energy efficiency is a concern at present and will be, in the future. So how do we optimize homes and users...
To avoid load peaks periods and reduce the electricity bill price, it is necessary to jeopardize appliances models and requirements. That allows controlling equipment energy needs and customizing the global home consumption profile. This paper gives smart home appliances modeling aiming to generate their energy power profiles according to local environmental circumstances. Moreover, the proposed models...
Currently great attention is paid to more efficient use of electrical energy and considerable significance is especially attached to increase the power quality, in particular, by decreasing high harmonics in supply voltage and current. This paper addresses the important issue of power quality management for industrial smart grid; especially how to mitigate harmonic distortion caused by switching frequency...
A team of researchers at Sultan Qaboos University in Oman in conjunction with the Curtin University of Technology in Australia have studied the current state of the electrical power grid in Oman, and have worked out necessary steps towards developing a smart grid from the current status. The team has made thorough interviews with the main stakeholders of the electricity network and has developed a...
A College Admissions Framework (CAF) algorithm for allowing distributed microgrids (MG) to decide whether to form disjoint coalitions in terms of electricity trading is established. MGs that have the incentive to cooperate can reduce power loss and increase revenues significantly compared to a noncooperative model where no cooperation among the MGs exist. The quota of a college is pre-determined in...
Machine to machine communication (M2M) is a communication architecture that enables heterogeneous devices to interact with each other without human intervention. Smart Grid (SG) is one of the many applications areas in the M2M communication. Smart Grid demands advanced communication infrastructure for two-way communications between devices deployed at various locations in energy generation, transmission,...
Population growth and industrialization increase the electrical energy demands. Electrical energy demands from the system should be on the time, reliable and economical. So, large energy consumption with high losses enhances the importance of smart grids. In this paper, facilitating the smart grid as load management techniques are examined. Smart lighting, smart house systems, smart inverters, replacing...
The transition from conventionally generated energy towards renewable energy sources is an important topic. Besides the need for new concepts for power plants this paradigm shift also implies new structural requirements for the grid. Especially, the on premise generation of energy via photovoltaics underlines the most important difference as compared to conventional energy generation and distribution...
The complexity of power systems and the change of demand load at the consumer make it necessary to control the voltage to avoid any unnecessary voltage drop beyond the limits allowed within the international standards and achieve optimum energy efficiency. This paper introduces a simple method that can regulate the voltage of a system without the sophisticated electronic devices. The method that controls...
Building load profiling plays an important part in the development of optimal energy management systems. Heating, Ventilation, Air Conditioning (HVAC) systems consume around 40% to 50% of the total energy consumed by buildings. Using this load data, optimal operation scheduling can be determined to reduce the peak energy requirement and minimize the overall energy consumption. In this paper, EnergyPlus...
As the number of DC loads are growing in our daily uses, the low voltage DC (LVDC) distribution system is becoming important. Power supplied through the low voltage AC (LVAC) distribution system needs both the AC/DC rectifier and the DC/DC converter to supply the DC loads. In comparison, LVDC system would only need the DC/DC converter to supply the DC loads. Integration of renewable energy sources...
A gap remains in the understanding of how best to integrate the end consumer in the perspective application of Smart Grid (SG) technologies in the Power Sector. Thus, from the standpoint of power management/power generation it would be possible to rationalize the use of electricity in an automatic way and in this context the possibility arises to meet part of the demand through the Energy Conservation...
The design of innovative technological instruments and frameworks for smart energy management is a challenge for countries across the world, and the creation of a ‘Smart Grid’ still has unresolved research and development (R&D) problems. The design of optimal distributed energy resources (DER) is a promising approach for creating more renewable energy. In order to successfully implement DER, one...
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