Rising penetration levels of (residential) photovoltaic (PV) power as distributed energy resource pose a number of challenges to the electricity infrastructure. High quality, general tools to provide accurate forecasts of power production are urgently needed. In this article, we propose a supervised deep learning model for end-to-end forecasting of PV power production. The proposed model is based ...Show More
The rapid growth in the installations of small scale, distributed energy resources in the recent years is astonishing. However, these installations are putting strain on the grid. This paper introduces the ETX simulation framework that allows for coordinated, repeatable studies of interactions between market, operations, and regulations. In addition, ETX is an excellent environment for artificial ...Show More
Energy storage systems are acknowledged as key components for transforming the power system towards low-carbon technology. The performance and resulting benefit of energy storage systems are determined by their operation strategies. We present a generic and adaptive control algorithm, based on fuzzy-logic and optimized by a meta heuristic search method. The performance of the algorithm is demonstr...Show More
