Probabilistic Forecasting of Photovoltaic Generation: An Efficient Statistical Approach

A novel efficient probabilistic forecasting approach is proposed to accurately quantify the variability and uncertainty of the power production from photovoltaic (PV) systems. Distinguished from most existing models, a linear programming based prediction interval construction model for PV power generation is constructed based on extreme learning machine and quantile regression, featuring high reliability and computational efficiency. The proposed approach is validated through the numerical studies on PV data from Denmark.Department of Electrical Engineerin

Design and Implementation WiMAX Transceiver on Multicore Platform

Before we design the WiMAX Base Station (BS), three questions we should answered. The first is what kind of system parameters will be selected? The second is which platform will be used for the BS design. And the third one is which algorithm will be selected for some modules that are not defined in 16e standard, especially for the receiver modules, such as synchronization, channel estimation, and STC (Space Time Coding) decoder, etc. When all the above questions obtain proper answers, we can start the BS design and implementation on specific platform to achieve aimed system performance. In this chapter, we will focus on the PHY (physical Layer) design of WiMAX BS