196,489 research outputs found
Efficient buyer groups for prediction-of-use electricity tariffs
No full textCopyright © 2014, Association for the Advancement of Artificial Intelligence.Current electricity tariffs do not reflect the real cost that customers incur to suppliers, as units are charged at the same rate, regardless of how predictable each customers consumption is. A recent proposal to address this problem are prediction-of-use tariffs. In such tariffs, a customer is asked in advance to predict her future consumption, and is charged based both on her actual consumption and the deviation from her prediction. Prior work (Vinyals et al. 2014) studied the cost game induced by a single such tariff, and showed customers would have an incentive to minimize their risk, by joining together when buying electricity as a grand coalition. In this work we study the efficient (i.e. cost-minimizing) structure of buying groups for the more realistic setting when multiple, competing prediction-of-use tariffs are available. We propose a polynomial time algorithm to compute efficient buyer groups, and validate our approach experimentally, using a large-scale data set of domestic electricity consumers in the UK
Éloge funèbre de M. Ramon d'Abadal i de Vinyals, correspondant étranger de l'Académie
No full textParrot André. Éloge funèbre de M. Ramon d'Abadal i de Vinyals, correspondant étranger de l'Académie. In: Comptes rendus des séances de l'Académie des Inscriptions et Belles-Lettres, 114ᵉ année, N. 1, 1970. pp. 113-114
Night shift work, chronotype and prostate cancer risk in the MCC-Spain case-control study
No full textAccion Transversal del Cancer, Spanish Ministry Council; Instituto de Salud Carlos III-FEDER [PI08/1770, PS09/00773, PS09/01286, PS09/01903, PS09/02078, PS09/01662, AP_061/10, PI11/01889, PI12/01270]; predoctoral grant PFIS [FI09/00385]Papantoniou, K., Castaño-Vinyals, G., Espinosa, A., Aragonés, N., Pérez-Gõmez, B., Burgos, J., Gõmez-Acebo, I., Llorca, J., Peirõ, R., Jimenez-Moleõn, J.J., Arredondo, F., Tardõn, A., Pollan, M., Kogevinas, M
A Game-Theoretical Incentive Mechanism for Local Energy Communities
No full textLocal energy communities (LECs) are structures based on the collaboration of neighbouring prosumers for suiting their energy requests. Prosumers are users participating in the community, which are able to produce energy rather than just consuming it. These communities have the purpose to incentivize usage of renewable energy. Inside them, it is possible to have members that trade energy in a peer-to-peer (P2P) fashion: prosumer can trade their energy surplus with consumers, so that profits remain inside the community and energy is not unnecessarily taken from outside, which avoids strain on the grid and transmission losses. In this work, the goal is to create a game theory model of a P2P market for LECs which takes into account the behavior of prosumers, assuming each of them will aim for their own benefit. The model has the objective to incentivize prosumers to self-consume their own energy, and balance as much as possible production and consumption through the community. The proposed model is described and analyzed with respect to other existing models with similar purposes, both from a theoretical and an empirical point of view. Results show that our model obtains good performances in all the analyzed aspects, outperforming existing ones
Intelligent Local Energy Communities: A Multiagent System Approach
No full textThe electric power grid undergoes a transformation, with many consumers becoming both producers and consumers of electricity. This transformation poses challenges to the existing grid as it was not designed to have reverse power flows. Local energy communities are effective in addressing those issues and engaging grid users to play an active role in the energy transition. Such communities encourage the consumption of the excess of renewable energy locally, which reduces the stress on the grid and the costs for the users. In this paper, we present a multiagent system developed to implement an intelligent local energy community. The multiagent system models the energy grid as a network of computational agents that solve energy flow problems in a coordinated way and use the solutions for controlling flexible loads. The model effectively distributes the tasks among the agents considering the flows of electricity and heat. The Alternative Direction Method of Multipliers determines the agent interaction protocol. The obtained results demonstrate the ability of the multiagent system to automate an intelligent operation of the community while reducing the energy costs and ensuring the grid stability
Incentive mechanisms for the secure integration of renewable energy in local communities: A game-theoretic approach
No full textIn the context of local energy communities (LECs), prosumers are the main actors, as they can both produce and consume energy. Prosumers can interact with each other, and peer-to-peer (P2P) energy trading allows prosumers belonging to the same LEC to exchange energy with each other. This allows energy production to be consumed internally by the community, which has the benefits of reducing costs for energy consumption and reducing the amount of energy traveling from/to the external grid, which causes transmission losses and wears and tear to the grid itself. This paper proposes a design for the P2P market from a game-theoretical point of view, where prosumers are modeled as selfish agents whose goal is to maximize their own profits in energy trading. The purposes of this market design are to (i) discourage prosumers from curtailing their own energy production, (ii) avoid congestions as much as possible, (iii) encourage self-consumption from prosumers, and (iv) guarantee that the selfish behavior of prosumers allows for a common strategy. Furthermore, this work considers the possibility of prosumers making coalitions between themselves, and show how this still allows for the existence of a common strategy. Simulations of the proposed market design have been run on data from a grid in Cardiff, UK, and show how the proposed mechanism allows for cost reduction and encourages energy self-consumption. Experiments results show that the system discourages the formation of small coalitions, and encourages instead cooperation from all the prosumers in the community
Denuncia sobre el estado ruinoso de los balcones de la fachada de la calle San Pablo
No full textDiferents documents referents a la denuncia pel mal estat dels balcons de la façana del carrer Sant Pau i la seva reparació. Figura el nom de l'arquitecte M. Vinyals, el vocal-secretari R. Marull i el president de la junta A. Pon
Worst-case bounds on the quality of max-product fixed-points
No full textWe study worst-case bounds on the quality of any fixed point assignment of the max-product algorithm for Markov Random Fields (MRF). We start proving a bound
independent of the MRF structure and parameters. Afterwards, we show how this bound can be improved for MRFs with particular structures such as bipartite graphs or grids.
Our results provide interesting insight into the behavior of max-product. For example, we prove that max-product provides very good results (at least 90% of the optimal) on MRFs
with large variable-disjoint cycles (MRFs in which all cycles are variable-disjoint, namely that they do not share any edge and in which each cycle contains at least 20 variables)
Dr. Duane M. Jackson, Morehouse College, July 2011
No full textThis video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
Author Correction: Validating a breast cancer score in Spanish women. The MCC-Spain study (Scientific Reports, (2018), 8, 1, (3036), 10.1038/s41598-018-20832-0)
No full textDierssen-Sotos, T., Gómez-Acebo, I., Palazuelos, C., Fernández-Navarro, P., Altzibar, J.M., González-Donquiles, C., Ardanaz, E., Bustamante, M., Alonso-Molero, J., Vidal, C., Bayo-Calero, J., Tardón, A., Salas, D., Marcos-Gragera, R., Moreno, V., Rodriguez-Cundin, P., Castaño-Vinyals, G., Ederra, M., Vilorio-Marqués, L., Amiano, P., Pérez-Gómez, B., Aragonés, N., Kogevinas, M., Pollán, M., Llorca, J
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