Usine hydro-électrique de la Kern River

Prédiction de l'activité humaine afin de réduire la consommation électrique de l'habitat

In this paper we propose a learning mechanism to build the behavior of electrical appliances in a smart home context. The aim of that mechanism is to reduce the consumption of appliances whose effect is delayed (for example the heating) while maximizing the inhabitants comfort. Our approach is based on a predictive model of home humans’ activities. That model is built from local information sen...

Pompage - turbinage avec de la petite - hydro – une option ?

This paper contributes towards exploring the technical and institutional feasibility of small hydropower storage and pumped-storage schemes in Switzerland. Within the European and Swiss context of the facilitation of renewable energy technologies, which includes small hydropower (SHP), intermittent sources such as solar and wind increase the need for additional energy storage capacities. Hydrop...

Etude sur la digestion pancratique de la caseine pour la production de la toxine tetanique

Ajustement Diffus et Adaptatif de la Consommation Électrique Résidentielle par un Système Multi-Agents

To balance production and consumption on the power grid, efforts are mostly made on the production side. Demand response allows to harness electricity consumption to overcome the constraints brought by the democratisation of renewable energy sources and self-production. In this context, the main problem is to coordinate agents, representing the network’s nodes, in order for them to be able to a...

Ajustement diffus et adaptatif de la consommation électrique résidentielle par un système multi-agent auto-adaptatif

Load shedding is a cheap and eco-friendly way to maintain balance on the power grid, by matching consumption on production. In this context, the main problem is to coordinate smart buildings in order for them to be able to anticipate their need and also to collectively adjust their load shedding. We present a bottom-up approach on distributed loadshedding and propose a decentralized model based...