Hamidreza Zareipour

TL;DR: In this paper, the authors present an up-to-date review of the state of technology, installations and some challenges of electrical energy storage (EES) systems, focusing on the applicability, advantages and disadvantages of various EES technologies for large-scale VRES integration.

TL;DR: In this article, the main challenges and problems associated with wind power prediction are discussed, and an overview of comparative analysis of various available forecasting techniques is discussed as well as a major challenges and major challenges.

TL;DR: This paper introduces the GEFCom2014, a probabilistic energy forecasting competition with four tracks on load, price, wind and solar forecasting, which attracted 581 participants from 61 countries and concludes with 12 predictions for the next decade of energy forecasting.

TL;DR: A set of HEMS challenges such as forecast uncertainty, modelling device heterogeneity, multi-objective scheduling, computational limitations, timing considerations and modelling consumer well-being are discussed.

TL;DR: In this article, a new bilevel prediction strategy is proposed for short-term loaf forecast (STLF) of micro-grids, which is composed of a feature selection technique and a forecast engine (including neural network and evolutionary algorithm) in the lower level as the forecaster and an enhanced differential evolution algorithm in the upper level for optimizing the performance of the forecasters.