Learning Biomarker Models for Progression Estimation of Alzheimer’s Disease

Being able to estimate a patient’s progress in the course of Alzheimer’s disease and predicting future progression based on a number of observed biomarker values is of great interest for patients, clinicians and researchers alike. In this work, an approach for disease progress estimation is presented. Based on a set of subjects that convert to a more severe disease stage during the study, models that describe typical trajectories of biomarker values in the course of disease are learned using quantile regression. A novel probabilistic method is then derived to estimate the current disease progress as well as the rate of progression of an individual by fitting acquired biomarkers to the models. A particular strength of the method is its ability to naturally handle missing data. This means, it is applicable even if individual biomarker measurements are missing for a subject without requiring a retraining of the model. The functionality of the presented method is demonstrated using synthetic and—employing cognitive scores and image-based biomarkers—real data from the ADNI study. Further, three possible applications for progress estimation are demonstrated to underline the versatility of the approach: classification, construction of a spatio-temporal disease progression atlas and prediction of future disease progression

An assessment of the influence of demand response on demand elasticity in electricity retail market

A transition towards a sustainable society is currently ongoing. In the electrical power system, this is reflected by the increasing share of renewable energy sources (RES). The weather dependence of some RES results in intermittent and volatile behaviour, thus matching supply and demand has become a challenge. Demand response (DR) is an emerging field which enables society to coop with upcoming challenges. One of the explored concepts to perform the DR is the price elasticity of demand. This paper presents a model to compute price elasticity matrices for typical households consisting of dispatchable appliances and a base load. Simulations of the model will demonstrate the price elastic response for different scenarios

Review of multi-BRP, aggregator settlement models at large-scale connections in the European electricity system

Developments in the electricity grid such as the integration of renewable energy and the deployment of electric transportation and heating will result in a more complex system with higher degree of uncertainty. An increasing role for flexibility can maintain the economic and technical functioning of this grid. Flexibility aggregators enhance the availability of flexibility, but can expose energy suppliers and their BRPs to risks when not subject to a proper market structure. In this paper, five settlement models to structure the interactions between energy suppliers, BRPs and aggregators are reviewed in the context of the European electricity market: the uncorrected, corrected, contractual, central settlement and the combined model

Review of multi-BRP, aggregator settlement models at large-scale connections in the European electricity system

Developments in the electricity grid such as the integration of renewable energy and the deployment of electric transportation and heating will result in a more complex system with higher degree of uncertainty. An increasing role for flexibility can maintain the economic and technical functioning of this grid. Flexibility aggregators enhance the availability of flexibility, but can expose energy suppliers and their BRPs to risks when not subject to a proper market structure. In this paper, five settlement models to structure the interactions between energy suppliers, BRPs and aggregators are reviewed in the context of the European electricity market: the uncorrected, corrected, contractual, central settlement and the combined model

Integrating smart storage and aggregators for network congestion management & voltage support in a pilot project in Eindhoven

Enexis is a distribution system operator (DSO) in the\u3cbr/\u3eNetherlands and one of the front runners for facilitating\u3cbr/\u3ethe energy transition in the Dutch electricity grids. The\u3cbr/\u3eInterflex project is initiated in 2017 under the Horizon\u3cbr/\u3e2020 research and innovation programme of the European\u3cbr/\u3eUnion. The Dutch demonstration project is conducted in\u3cbr/\u3ethe city of Eindhoven, where a mixed urban\u3cbr/\u3eneighbourhood is chosen for integrating local battery\u3cbr/\u3estorage in the low voltage (LV) electricity network along\u3cbr/\u3ewith several public charging facilities for electric vehicles\u3cbr/\u3e(EVs) and local electricity production from photovoltaic\u3cbr/\u3e(PV) panels. In this project, Enexis aims to solve\u3cbr/\u3econgestion problems in the network efficiently while\u3cbr/\u3emaintaining the voltage quality within the Dutch standard\u3cbr/\u3eboundary limits. To attain this goal, Enexis may purchase\u3cbr/\u3ethe required flexibility from the local flexibility market\u3cbr/\u3ebased on the price of flexibility. In addition to that, the\u3cbr/\u3evariable connection capacity mechanism is also\u3cbr/\u3eintroduced that allows the DSO to manage the network’s\u3cbr/\u3econgestion efficiently. In this paper, the importance of\u3cbr/\u3esmart battery storage for testing the proposed concepts is\u3cbr/\u3ediscussed. Furthermore, a short description is given about\u3cbr/\u3ethe current status of the project.\u3cbr/\u3

An assessment of the influence of demand response on demand elasticity in electricity retail market

A transition towards a sustainable society is currently ongoing. In the electrical power system, this is reflected by the increasing share of renewable energy sources (RES). The weather dependence of some RES results in intermittent and volatile behaviour, thus matching supply and demand has become a challenge. Demand response (DR) is an emerging field which enables society to coop with upcoming challenges. One of the explored concepts to perform the DR is the price elasticity of demand. This paper presents a model to compute price elasticity matrices for typical households consisting of dispatchable appliances and a base load. Simulations of the model will demonstrate the price elastic response for different scenarios

Nieuwe energietechnologieën mogelijk door flexibiliteitsmarkt

Nieuwe energietechnologieën zoals zonnepanelen, warmtepompen en elektrische auto's vormen een toenemende uitdaging voor het elektriciteitsnet. Regionale netbeheerders zoeken nieuwe methoden om deze uitdaging het hoofd te bieden. Het toepassen van flexibiliteit is volgens onderzoek een van de mogelijkheden voor het ontlasten van het elektriciteitsnet. Er zijn meerdere methoden om flexibiliteit te ontsluiten. Op Strijp-S in Eindhoven worden twee van die methoden onderzocht: een flexibiliteitsmarkt en een netaansluiting met variabele capaciteit

The Strijp-S living-lab: testing innovative solutions for fault protection, self-healing, congestion management, and voltage control

Distribution system operators are investigating methods to facilitate a high penetration of distributed energy resources while maintaining network reliability in a cost effective way. Some of the challenges associated with a high penetration of distributed energy resources are network overloading, voltage violations, and inadequate fault protection. Mitigation measures to these challenges are investigated in a newly developed living-lab in the district of Strijp-S, Eindhoven, the Netherlands. This living-lab is home to demonstrators from two H2020 projects: InterFlex and UNITED-GRID. The InterFlex demonstrator focuses on congestion management and voltage control through a day-ahead and intraday flexibility market, while the UNITED-GRID demonstrator focuses on near real-time solutions for congestion management, voltage control, fault protection and self-healing. This paper addresses the innovative solutions which will be developed and tested in both demonstrators, in relation to the living-lab. Furthermore, an initial overview is given of a potential integrated approach to utilize both demonstrators in parallel