No abstract

No abstract

The Japanese government is proceeding to have the electricity companies to install smart meters in residential sectors. Although power companies are installing smart meters in residential areas, electricity data analysis methods for smart meters are not developed in Japan enough. This research shows an analysis method of electricity disaggregation on low-resolution smart meter data to reveal the point of energy saving for the residents. Specifically, we provided that three kinds of disaggregation methods for the disaggregation of Low-resolution data. 1) Two-states-disaggregation, which can separate the active and the inactive state. 2) Three-states-disaggregation, which can separate the load for active, mid-active and inactive states, which can reveal the life pattern specifically. 3) Temperature-sensitive load disaggregation that can separate the total load and temperature-sensitive load. Finally, we also demonstrated an example of how to take advantage of the disaggregation that helps the users to analyse and enhance energy saving. 

Spanish electrical system is one of most successful cases for electric power generation from renewable energy sources such as the wind and solar. In order to reveal the key points for the introduction of renewable energy in the electrical grid, we performed the statistical analysis of the composition of Spanish the power sources. Based on the Spanish power generation and demand, as well as the type of power source by area, we analyzed the error in demand forecast made by REE. Furthermore, we performed a Cross-correlation analysis for the time series of energy source data. As a result, we could understand buffering systems like International Power Interchange are inevitable for a high percentage of unstable renewables and unpredictable demand. One way to reduce the burden for the power grid is to construct segmented grids, and in this way improve the demand response balance within the gird. 

No abstract