117 research outputs found
A Method for Remote Control of EV Charging by Modifying IEC61851 Compliant EVSE Based PWM Signal
Goal-Oriented Scheduling in Sensor Networks with Application Timing Awareness
Taking inspiration from linguistics, the communications theoretical community
has recently shown a significant recent interest in pragmatic , or
goal-oriented, communication. In this paper, we tackle the problem of pragmatic
communication with multiple clients with different, and potentially
conflicting, objectives. We capture the goal-oriented aspect through the metric
of Value of Information (VoI), which considers the estimation of the remote
process as well as the timing constraints. However, the most common definition
of VoI is simply the Mean Square Error (MSE) of the whole system state,
regardless of the relevance for a specific client. Our work aims to overcome
this limitation by including different summary statistics, i.e., value
functions of the state, for separate clients, and a diversified query process
on the client side, expressed through the fact that different applications may
request different functions of the process state at different times. A
query-aware Deep Reinforcement Learning (DRL) solution based on statically
defined VoI can outperform naive approaches by 15-20%
Electric vehicle battery charging controller
The present invention provides an electric vehicle charging controller. The charging controller comprises a first interface connectable to an electric vehicle charge source for receiving a charging current, a second interface connectable to an electric vehicle for providing the charging current to a battery management system in the electric vehicle to charge a battery therein, a first communication unit for receiving a charging message via a communication network, and a control unit for controlling a charging current provided from the charge source to the electric vehicle, the controlling at least in part being performed in response to a first information associated with a charging message received by the first communication unit</p
Implementation of an Electric Vehicle test bed controlled by a Virtual Power Plant for contributing to regulating power reserves
Facilitating a Generic Communication Interface to Distributed Energy Resources: Mapping IEC 61850 to RESTful Services
Videnskabelig udredning af international viden om skifergas relateret til en dansk kontekst:DTU, GEUS, DCE
A high-affinity, bivalent PDZ domain inhibitor complexes PICK1 to alleviate neuropathic pain
Maladaptive plasticity involving increased expression of AMPAâtype glutamate receptors is involved in several pathologies, including neuropathic pain, but direct inhibition of AMPARs is associated with side effects. As an alternative, we developed a cellâpermeable, highâaffinity (~2 nM) peptide inhibitor, TatâPâ(C5), of the PDZ domain protein PICK1 to interfere with increased AMPAR expression. The affinity is obtained partly from the Tat peptide and partly from the bivalency of the PDZ motif, engaging PDZ domains from two separate PICK1 dimers to form a tetrameric complex. Bivalent TatâPâ(C5) disrupts PICK1 interaction with membrane proteins on supported cell membrane sheets and reduce the interaction of AMPARs with PICK1 and AMPAâreceptor surface expression in vivo. Moreover, TatâPâ(C5) administration reduces spinal cord transmission and alleviates mechanical hyperalgesia in the spared nerve injury model of neuropathic pain. Taken together, our data reveal TatâPâ(C5) as a novel promising lead for neuropathic pain treatment and expand the therapeutic potential of bivalent inhibitors to nonâtandem proteinâprotein interaction domains
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