Inverse optimization refers to the inference of unknown parameters of an optimization
problem based on knowledge of its optimal solutions. This paper considers inverse …

Due to pressing environmental concerns, there is a global consensus to commit to a
sustainable energy future. Germany has embraced Energiewende, a bold sustainable …

Designing customizing prices is an effective way to promote consumer interactions and
increase the customer stickiness for retailers. Fueled by the increased availability of high …

This paper deals with the market-bidding problem of a cluster of price-responsive
consumers of electricity. We develop an inverse optimization scheme that, recast as a bilevel …

In this paper, a real-time demand response (DR) framework and model for a smart
distribution grid is formulated. The model is optimized in a distributed manner with the …

We present analysis and results of a social game encouraging energy efficient behavior in
occupants by distributing points which determine the likelihood of winning in a lottery. We …

In this paper, we demonstrate how to learn the objective function of a decision maker while
only observing the problem input data and the decision maker's corresponding decisions …

In this paper, we demonstrate how to learn the objective function of a decision-maker while
only observing the problem input data and the decision-maker's corresponding decisions …

In many smart infrastructure applications, flexibility in achieving sustainability goals can be
gained by engaging end users. However, these users often have heterogeneous …

Many multi-agent systems have a single coordinator providing incentives to a large number
of agents. Two challenges faced by the coordinator are a finite budget from which to allocate …