Interface model based cyber-physical energy system design for smart grid

Smart Home Activities: A Literature Review

“…In [49], an energy timing interface model was proposed for smart homes and for smart grid management and design. The model accurately calculated the energy supply and consumption associated with PV cells, storage systems, and appliances for individual homes.…”

Intelligent Connector (I-Connector) Design and Demand Response in Smart Grid

“…Such a model will allow us to focus on only the key metrics: demand response, load balancing, scheduling, and abnormal situations due to uncertainties. Our preliminary experimental results showed that the Intelligent Connector (I-Connector), the proposed Interface Model (I-Model) [2], [3], and the simulation based Optimization with Hierarchical Options (SoHo) can capture the major characteristics of a smart home system, and when combined with higher level optimization tools has the potential to provide significant energy saving.…”

“…This is to support large size communities with thousands of households with little concerns on data or information explosion. In addition, it is possible to extend the current I-Model work [2], [3] to provide automatic model generations for general smart appliances, and power electronic systems. In this way, it will be possible to provide a dynamic-data-driven, adaptive multi-scale simulation (DDDAMS) framework to coordinate the management of house-level energy resources and to provide a closed loop control for the household.…”

“…It receives optimization results from the simulation based Optimization with Hierarchical Options (SoHo). The Interface Model (I-model) [2], [3] prunes data from sensors and smart meters at the households to provide a fast optimization framework. The contributions of this paper include: 1) A new smart connector (I-Connector) that allows multiple direction energy flow and two-way regulations.…”

A Multi-Hop Energy Neutral Clustering Algorithm for Maximizing Network Information Gathering in Energy Harvesting Wireless Sensor Networks

“…Then billions of sensor nodes will consume a significant amount of energy to execute data collecting and transmitting tasks. Once these sensors run out of energy, a lot of electronic waste will be produced which may bring a big challenge to the environment [ 15 , 16 ]. Because of the potential economic benefits and expected environmental sustainability, harvesting ambient energy resource from the environment to power WSNs is a promising technique [ 17 ].…”