Dora Nakafuji

  • Citations Per Year
Learn More
This paper presents a new probabilistic approach of the real-time state estimation on the micro-grid. The grid is modeled as a factor graph which can characterize the linear correlations among the state variables. The factor functions are defined for both the circuit elements and the renewable energy generation. With the stochastic model, the linear state(More)
During 2005 approximately 2,500 MW of wind capacity was added in the United States, which brought installed wind capacity to about 9,150 MW. Although the total wind capacity in the United States is less than in some countries, wind energy has caught the attention of some utilities that depend on natural gas to generate power. There is evidence that wind(More)
Smart grid envisions the potential to manage diverse energy resources and enable a future self-dispatch and selfhealing grid. This would first require the micro-grid visibility of node behavior (i.e. electrical parameters). In this paper we propose a novel approach to construct a stochastic model that makes global inference on every node at the micro-grid(More)
Solar irradiance forecasting is an important problem in renewable energy management where any dips in solar energy generation must be made up for by reserves in order to ensure an uninterrupted energy supply. In this paper, we study several data mining methods for short term solar irradiance forecasting at a given location. In particular, we apply linear(More)
Today, the family of Hawaiian Electric utilities, consisting of Hawaii Electric Light Company (HELCO) on the Big Island of Hawaii, Maui Electric Company (MECO) on the islands of Maui, Molokai and Lanai and Hawaiian Electric Company (HECO) on the island of Oahu, are contending with PV penetrations in excess of 20 percent during high electricity demand days(More)
  • 1