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We consider multi-agent decision making where each agent's cost function depends on all agents' strategies. We propose a distributed algorithm to learn a Nash equilibrium, whereby each agent uses only obtained values of her cost function at each joint play ...
The study consists of two interrelated parts. In the first part, we aim to identify the best predictive model of day-ahead electricity prices. In particular, we verify the existence of a dependence of the spot price on power generation and variable costs o ...
The large potential for waste resource and heat recovery in industry has been motivating research toward increasing efficiency. Process integration methods have proven to be effective tools in improving industrial sites while decreasing their resource and ...
Directive-based programming models, such as OpenMP, OpenACC, and OmpSs, enable users to accelerate applications by using coprocessors with little effort. These devices offer significant computing power, but their use can introduce two problems: an increase ...
Electric buses are particularly suitable for city and suburban routes due to zero local exhaust and noise emissions. The operation schedule interval defines the charging power, bus fleet size and total cost of ownership of a bus. We propose a novel cost-be ...
We consider online convex optimizations in the bandit setting. The decision maker does not know the time- varying cost functions, or their gradients. At each time step, she observes the value of the cost function for her chosen action. The objective is to ...
In recent decades, energy efficiency has become one of the key issues facing large process industries. Mounting economic, environmental and social pressure motivate energy-intensive industries to improve their efficiency. Identifying retrofit opportunities ...
Controlling the consumption profile of office buildings can be used to provide balancing services to the power grid at a financial benefit without violating its thermal comfort constraints. The economic advantage of such a service is a reduction in the tot ...
Bathymetry is a crucial variable for many researches, such as monitoring of the coral ecosystems. Traditional bathymetric measurements are made by echo-sounder, a type of sonar, measuring water depth from sea surface. Nevertheless, this acquisition process ...
Increasing material costs and emerging applications have steered research trends towards compacter and therefore faster drives. The arising challenges of miniaturization have made contactless magnetic levitation increasingly attractive, which offer practic ...