Accurate modeling of end-users’ decision-making behavior is crucial for validating demand response (DR) policies. However, existing models usually represent the decision-making behavior as an optimization problem, neglecting the impact of human psychology on decisions. In this paper, we propose a Belief-Desire-Intention (BDI) agent model to model end-users’ decision-making under DR. This model has the ability to perceive environmental information, generate different power scheduling plans, and make decisions that align with its own interests. The key modeling capabilities of the proposed model have been validated in a household end-user with flexible loads
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Abstract Objective: To determine the associations between four validated multidimensional self-report frailty scales and nine indices of oral health in communitydwelling older persons. Materials and Methods: This pilot study was conducted in a sample of 208 older persons aged 70 years and older who visited two dental practices in the Netherlands. Frailty status was measured by four different self-report frailty questionnaires: Tilburg Frailty Indicator (TFI), Groningen Frailty Indicator (GFI), Sunfrail Checklist (SC), and the Sherbrooke Postal Questionnaire (SPQ). Oral health was assessed by two calibrated examiners. Results: The prevalence of frailty according to the four frailty measures TFI, GFI, SC, and SPQ was 32.8%, 31.5%, 24.5%, and 49.7%, respectively. The SC correlated with four oral health variables (DMFT, number of teeth, percentage of occlusal contacts, Plaque Index), the TFI with three (number of teeth, percentage of occlusal contacts, Plaque Index), the GFI only with DPSI, and the SPQ with the number of teeth and the number of occlusal contacts. Conclusion: Of the studiedmultidimensional frailty scales, the SC and TFIwere correlated with most oral health variables (four and three, respectively). However, it should be noticed that these correlations were small. Clinical relevance: The SCand TFImight help to identify older people with risk of poor oral health so that preventive care can be used to ensure deterioration of oral health and maintenance of quality of life. Vice versa early detection of frailty by oral care professionals could contribute to interprofessional management of frailty.
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SEEV4-City is an innovation project funded by the European Union Interreg North Sea Region Programme. Its main objective is to demonstrate smart electric mobility and integration of renewable energy solutions and share the learnings gained. The project reports on the results of six Operational Pilots (OPs) which have different scales and are located in five different cities in four different countries in the North Sea Region.Loughborough OP (United Kingdom) is the smallest pilot, being a household with a bi-directional EV charging unit for the Nissan Leaf, a stationary battery, and a PV system. In the Kortrijk OP (Belgium), a battery system and a bi-directional charging unit for the delivery van (as well as a smart charging station for ebikes) were added to the energy system. In Leicester (United Kingdom), five unidirectional charging units were to be accompanied by four bi-directional charging units. The Johan Cruyff Arena OP is a larger pilot in Amsterdam, with a 2.8 MWh (partly) second life stationary battery storage for Frequency Control Regulation services and back-up power, 14 fast chargers and one bi-directional charger. Integrated into the existing energy system is a 1 MW PV system that is already installed on the roof. In the Oslo OP, 102 chargers were installed, of which two are fast chargers. A stationary battery energy storage system (BESS) supports the charging infrastructure and is used for peak shaving. The FlexPower OP in Amsterdam is the largest OP with over 900 EV charging outlets across the city, providing smart charging capable of reducing the energy peak demand in the evening.Before the start of the project, three Key Performance Indicators (KPIs) were determined:A. Estimated CO2 reductionB. Estimated increase in energy autonomyC. Estimated Savings from Grid Investment Deferral
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