Bioethics and the reinforcement of socio-technical expectations.

Operation Scheduling of MGs Based on Deep Reinforcement Learning Algorithm

: In this paper, the operation scheduling of Microgrids (MGs), including Distributed Energy Resources (DERs) and Energy Storage Systems (ESSs), is proposed using a Deep Reinforcement Learning (DRL) based approach. Due to the dynamic characteristic of the problem, it firstly is formulated as a Markov Decision Process (MDP). Next, Deep Deterministic Policy Gradient (DDPG) algorithm is presented t...

Normative expectations in systems innovation

This paper is concerned with the way technological expectations are generated, articulated and deployed in processes of large-scale socio-technical change. We argue that expectations are intrinsic to all social action, so that visions of the future are both ubiquitous and context-specific. Agents will act in relation to private visions of the future that are complexly related to shared or colle...

The re-queering of HIV testing practices and the reinforcement of stigma.

The Open University ’ s repository of research publications and other research outputs Innovating thermal treatment of municipal solid waste ( MSW ) : Socio - technical change linking expectations and representations

This paper combines two theoretical perspectives: future technological expectations mobilising resources, and social representations assimilating new ideas through anchoring onto familiar frames of reference. The combination is applied to the controversial case of thermal-treatment options for municipal solid waste, especially via gasification technology. Stakeholders’ social representations se...

QFD Modeling of Expectations and Priorities of National Oil Company Human Resources (Four Matrix)

 The main purpose of this study was to provide a model for the expectations and priorities of human resources in National Iranian Oil Company by QFD for quality engineering of welfare system. The research method was qualitative and quantitative. At first, welfare indices were extracted from Delphi method and interviews with experts (n = 15) and then these indices were matched with the needs of ...