Abstract
The multi-energy systems (MES) contain key resources driving the evolution of the future systems. Various components and convertors that are available in a MES make it operationally flexible and a potential source to be deployed in system operation. Like any other resources in the system, the flexibility brought by MES needs to be fairly valued. One of the approaches is through market participation of these resources. In this regard, new agents and trade system need to be defined. This paper studies the interactions of a multi-energy aggregator on various trade levels defined within the multi-energy paradigm. The levels include the upstream multi-energy markets as well as local energy trades such as local resources and flexible demand. The results discuss the increased level of profit due to the availability of multi-energy trade to the aggregator.

Abstract
Vertical load is the power flow between electrical transmission and distribution networks. In the past, large-scale generators connected to transmission systems supplied consumers connected to lower voltage levels across distribution grids. Thus, vertical loads tended to be downward-oriented. This paper presents a spatiotemporal distributed energy resources (DER) diffusion model to analyze vertical load uncertainty resulting from different DER diffusion process representations currently used in the industry and academia. Network planners and operators can use such model to understand the long-term evolution of load at the T/D boundary. The proposal is applied to the Portuguese power system, combining, as first of its kind, highly granulated population census with georeferenced transmission and distribution network datasets. This application analyzes the 20-year evolution of such vertical load flows at the transmission-distribution boundary under a strong uptake of DER embodied in lower voltage levels in Portugal. © 2019 IEEE.

Abstract
The main objective of this paper is to present a DAB protocol and a DAB grid agent prototype, as essential parts of a grid ancillary services operational model. The decentralized, small electric loads (electric vehicles, household-appliances, batteries, prosumers), clustered properly by aggregators are equipped in large amounts with the so called 'grid-agents'. A grid-agent is a cost-effective, low-power, smart electric control unit consisting of a DAB+ receiver with embedded circuits for local grid voltage and frequency measurements and a microcontroller running algorithms for flexible load control. The grid-agent will optimize the electricity demand with respect to the grid status and/or to external commands received via DAB+. Moreover, especially suited for Transmission System Operators (TSOs), multi-load power facilities that are controlled by energy management systems through specific standards (e.g. KNX for hotels, Modbus for the industrial sector, etc) and even Renewable Energy Sources (RES) Distributed Generators (DGs) are equipped with a single DAB+ grid-agent. © 2019 IEEE.

Abstract
Long-term, regular, grid-aware participants are one of the cornerstones of demand management activities that provide grid services. However, voluntary participation to demand management activities is still at low rates, while most customers are not sufficiently aware of the management potential of their flexible loads. Smart metering and data post-processing play a vital role in demand management programs to visualize consumption profiles, highlight flexibility potential and evaluate load management performance of customers. Additionally, gamification techniques can be employed to motivate users to achieve behavioral changes in their consumption profiles, providing financial and social incentives. Long-term field demonstrations and exploration of detailed evaluation metrics have been the main gaps in this area of study. This paper presents and discusses the results of a 13-month field demonstration of a gamified residential demand management platform. 4-month monitoring period is followed by a 9-month gamification period in four houses in Istanbul, Turkey. © 2019 IEEE.

Abstract
This paper presents steganography techniques that were employed to avoid human perception of the added audio signals in an acoustic environment for indoor location purposes. In the context of audio forensics, indoor location can be used in connection with the detection of a crime. The validation of using the acoustic channel for data transmission over an almost imperceptible audio signal enables the possibility of a receiving processing mobile device (such as a smartphone) to localize itself absolutely by receiving and processing such signals from the infrastructure. Some possible applications will be presented demonstrating the utility of this technology. This paper will present the use of almost imperceptible audio signals to successfully transmit hidden information using a spread spectrum data-hiding technique or a music/speech cover signal and the echo hiding technique.

Abstract
This paper presents a speed control of the reluctance machine for electric drive applications with fast dynamic demand. To get high-performance speed control, a cascade control algorithm is developed based on linear control technique. The controller is designed using the Root Locus Methodology and implemented on a numerical simulation platform. The design using Root Locus Methodology proved to be a viable approach and showed that various problems associated with the structural torque ripple of the electric motor can be solved. An important aspect of this work is the role played by model linearization in testing the sensitivity of the controller performance to specific parameter changes. The controller is applied to a simulated non-linear switched reluctance motor model in order to evaluate their performances. Simulation results showed that high-performance control for Switched Reluctance Motor has been achieved.