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Miguel Manuel de Villena Millan - Publications ORBI
Dumas, J., Boukas, I., Manuel de Villena Millan, M., Mathieu, S., & Cornélusse, B. (2019, September 18). Probabilistic Forecasting of Imbalance Prices in the Belgian Context. Paper presented at 16th European Energy Market Conference (EEM 2019), Ljubljana, Slovénie.
Forecasting imbalance prices is essential for strategic participation in the short-term energy markets. A novel two-step probabilistic approach is proposed, with a particular focus on the Belgian case. The ...
Mathieu, S., Manuel de Villena Millan, M., Vermeulen, E., & Ernst, D. (2019). Harnessing the flexibility of energy management systems: a retailer perspective. Proceedings PowerTech 2019.
Peer reviewed
The business of electricity retailing is changing following the current evolution of the electricity system. An example of such an evolution is the increasing number of clients installing sophisticated energy ...
Manuel de Villena Millan, M., Fonteneau, R., Gautier, A., & Ernst, D. (2019, March). Evaluating the Evolution of Distribution Networks under Different Regulatory Frameworks with Multi-Agent Modelling. Energies.
Peer reviewed (verified by ORBi)
In the context of increasing decentralised electricity generation, this paper evaluates the effect of different regulatory frameworks on the evolution of distribution networks. This problem is addressed by ...
Manuel de Villena Millan, M., Gautier, A., Fonteneau, R., & Ernst, D. (2018). A multi-agent system approach to model the interaction between distributed generation deployment and the grid. Proc. of CIRED Workshop 2018.
Peer reviewed
This paper introduces a multi-agent dynamical system of the interaction between electricity consumers, the electricity distribution system operator, and the technological (generation, storage) and regulatory ...
Manuel de Villena Millan, M., Fonteneau, R., Gautier, A., & Ernst, D. (2018). Exploring Regulation Policies in Distribution Networks through a Multi-Agent Simulator. Proc. of YRS2018.
Peer reviewed
This paper presents a multi-agent simulator that describes the interactions between the agents of a distribution network (DN), and an environment. The agents are the users of the DN and the electricity ...