Komla A. Folly

TL;DR: In this article, the authors discuss the issue of sudden voltage rise and reverse power flow resulting from high penetration of PV on the low voltage grid and also the need for a smarter grid, which is a result of deregulation of the electricity market and increasing environmental issues related to global warming arising from the use of fossil fuel power plants.

TL;DR: Load monitoring and identification is a method of determining electrical energy consumption and operation condition of individual appliances based on the analysis of composite load measured from the main power meter in a building as discussed by the authors.

TL;DR: In this article, three statistical distribution functions were fitted to a collection of wind speed data at 10, 50 and 70m hub heights to determine the best distribution function to be used for modeling of the wind speed at these hub heights.

TL;DR: Simulation results for very-short-term and short-term forecasting show that ANNs and ANFIS are suitable for the very- Short-term wind speed and power forecasting, and the Autoregressive Moving Average (ARMA), one of the most robust and simple time-series methods.

TL;DR: In this paper, two wind energy analysis techniques are presented: the use of direct technique where the electrical power outputs of the wind turbines at a time t are estimated using the turbine power curve(s) and the estimate of power outputs are estimated based on the developed site power curve (s).