Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities
Graph Chatbot
Chat with Graph Search
Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
Precisely predicting the future is an almost impossible challenge. However, predicting possible trend-lines is a more common thing. Current greenhouses gases emissions and climate change are among the most worrying issues humanity will face in a near futur ...
Building sector decarbonisation involves large scale integration of renewable energy sources within the energy mix commonly used to fulfil the heat demand. For this, to combine several energy sources and to control conversion systems based on a systemic ap ...
HEPIA Geneva University of Applied Sciences and Arts Western Switzerland2021
Multiphoton spectroscopy of monodeuterated water is employed to determine more than 210 new energy levels of HDO in the 25 000–35 000 cm region. These new empirical energy levels are used to fit a potential energy surface (PES) valid between 20 000 cm and ...
The energy industry is going through challenging times of disruptive changes caused by decarbonization, decentralization, and digitalization. As the energy value chain is restructuring itself to accommodate the growing penetration of renewables, increasing ...
Deep Reinforcement Learning (DRL) recently emerged as a possibility to control complex systems without the need to model them. However, since weeks long experiments are needed to assess the performance of a building controller, people still have to rely on ...
Latest European Union programs related to energy efficiency underline the need for retrofitting existing buildings, which are responsible for 40% of EU total energy consumption. Accounting for almost 45% of the existing building stock, the architecture of ...
Spending an uncontrolled quantity and quality of time on digital information sites is affecting our well-being and can lead to serious problems in the long term. In this paper, we present a sequential recommendation framework that uses deep reinforcement l ...
In the past few years, the importance of electric mobility has increased in response to growing concerns about climate change. However, limited cruising range and sparse charging infrastructure could restrain a massive deployment of electric vehicles (EVs) ...
IoT sensors are in rising demand and they often require low power, yet high precision measurements. Under constrained energy, Nyquist-rate SAR ADCs are typically used for readout as they are energy efficient and easy to multiplex across many sensors. Howev ...
One of the primary driving factors in building energy performance is occupant behavioral dynamics. As a result, the layout of building occupant workstations is likely to influence energy consumption. In this paper, we introduce methods for relating lightin ...
