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The development of renewable energy is accompanied by new requirements traditio-
nally not met by the existing power grid and its accounting processes. In an effort to
support power exchange between the micro-producers, a native peer-to-peer model for
power trades is developed on top of a redefined grid topology. Through direct physical
power links, peers control their own end and can police their power exchanges. While
conforming to a set of exchange rules, power routers can interconnect peers in this to-
pology and are designed to meet that control and power exchange. By connecting the
peer consumption, production, and storage facilities as well, power routers regulate and
manage the peer’s energy. Power regulation, power negotiation and power accounting
subsystems allow power routers to interface with the electrical layer, negotiate power
with other power routers and handle payments. In addition to a decision subsystem
reflecting the peer’s trade profile, the power router is able to organize consumption,
production and power exchange accordingly.

Ingénierie, informatique & technologie > Sciences informatiques --- Ingénierie, informatique & technologie > Ingénierie électrique & électronique

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Ce mémoire de fin d'étude expose une méthodologie d'analyse de base de donnée visant à extraire via des données receuillie par un fournisseur d'énergie (Total) des informations jugé pertinente quand au calcul du potentiel HVAC dans le secteur tertiaire.

Ingénierie, informatique & technologie > Ingénierie civile

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Recent advances in deep learning have shown impressive results in the domain of text-to-speech. To this end, a deep neural network is usually trained using a corpus of several hours of professionally recorded speech from a single speaker. Giving a new voice to such a model is highly expensive, as it requires recording a new dataset and retraining the model. A recent research introduced a three-stage pipeline that allows to clone a voice unseen during training from only a few seconds of reference speech, and without retraining the model. The authors share remarkably natural-sounding results, but provide no implementation. We reproduce this framework and open-source the first public implementation of it. We adapt the framework with a newer vocoder model, so as to make it run in real-time.

voix --- audio --- text-to-speech --- tts --- neurone --- réseau --- deep --- deep learning --- machine learning --- transfert --- generation --- voice --- audio --- transfer --- generation --- text-to-speech --- tts --- neural --- network --- deep --- deep learning --- machine learning --- Ingénierie, informatique & technologie > Sciences informatiques

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This document aims to research and implement reinforcement learning technique to solve a motion planning problem of a car in a 2D world.

reinforcement-learning --- motion-planning --- Ingénierie, informatique & technologie > Sciences informatiques

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The main objective of this study is to determine if CSP plants with TES are still economically viable when put in competition with PV systems and batteries for a large scale power generation in a global grid setting. Towards this goal, an optimization-based framework is implemented and exploited to identify the best combination of generation means among CSP, PV and battery to satisfy a chosen electricity demands while minimizing the cost of the total installations.

Concentrated solar power plant --- Optimization --- PV --- Ingénierie, informatique & technologie > Ingénierie civile