We benchmark state-of-the-art methods for forecasting electricity demand on the household
level. Our evaluation is based on two data sets containing the power usage on the individual …

Large-scale deployment of advanced smart grid technologies bolsters load forecasting as a
vital requirement for deregulated power systems. In this regard, providing an accurate short …

This paper considers a demand-side aggregation scheme specifically for large numbers of
small-loads, such as households and small-and medium-sized businesses. We introduce a …

Optimization models and methods for an equilibrium traffic assignment is a very specific
research field. It is well known that a traffic assignment problem can be formulated in the …

Abstract The growing Electric Vehicles'(EVs) popularity among commuters creates new
challenges for the smart grid. The most important of them is the uncoordinated EV charging …

This paper introduces a new scheme for autonomous electricity cooperatives, called
predictive cooperative, which aggregates commercial and residential electricity consumers …

Power grid architectures need to be revised in order to manage the increasing number of
producers and, more generally, the decentralisation of energy production and distribution. In …

In this paper, we propose the formation of agent cooperatives offering large-scale electricity
demand shifting services, and put forward a complete framework for their operation …

The future of energy generation is expected to become increasingly decentralized. Today,
many customers are already more than demand units, they also act as energy producers …

A key challenge in creating a sustainable and energy-efficient society is to make consumer
demand adaptive to the supply of energy, especially to the renewable supply. In this article …