Search results

The increasing conviction rates of stalking in the UK have prompted efforts to identify factors that may influence individuals to engage in such behaviour. Over two million people in England and Wales experience stalking every year, with estimated reoffending rates for stalking being between 25 and 55% (ONS, 2022; McEwan et al., 2017). Research has identified risk factors that may contribute towards stalking behaviours, which has included obsessive relational pursuit and online impulsivity (Post et al., 2014a; Rocheleau, 2019). This has resulted in researchers postulating a link between facets of neurodiversity and stalking behaviour (Freckelton, 2013). The purpose of this study was to examine the evidence base for any link between neurodiversity and stalking.

The Systematic Review was performed according to the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Papers were screened for quality appraisal and risk of bias. The initial search yielded 3,880 articles. A total of 10 papers were deemed as meeting the inclusion criteria.

There is insufficient research quality regarding neurodiversity and stalking perpetration due to poor diagnostic reliability of neurodiversity and a lack of reliable tools being used in the research which do not meet the definitions of stalking. As such, the existing research about neurodiversity and stalking perpetration is inconclusive and predominantly unreliable. Tentative evidence indicated that people with neurodiversity were at greater risk of being victims of stalking and that for the minority of people with neurodiversity who engage in stalking the factors that contribute towards this mirror those of neurotypical individuals.

Overall, the factors contributing to stalking highlighted by the included studies, such as difficulties with communication, empathy, insight into social functioning, interpersonal competence and ways of forming relationships with others, seem to map onto the deficits of neurotypical stalking perpetrators (Canter and Youngs, 2012; Lewis et al., 2001; Mullen et al., 2006). However, tools that contextualise neurodiversity in the context of risk assessments for stalking may be helpful (Al-Attar, 2019, 2021).

Recommendations for further research are made to gain a robust understanding of any potential relationship between neurodiversity and stalking and in particular a risk of stalking victimisation.

This paper aims to investigate and formulate several business models (BM) for various energy communities (EC) members: prosumers, storage facilities, electric vehicle (EV) charging stations, aggregators and local markets.

One of the flexibility drivers is triggered by avoiding the cost and maximizing value that consists of delivering a service such as increasing generation or reducing consumption when it is valued most. The transition to greener economies led to the emergence of aggregators that aggregate bits of flexibility and handle the interest of their providers, e.g. small entities such as consumers, prosumers and other small service providers. On one hand, the research method consists of formulating six BM and implementing a BM that includes several consumers and an aggregator, namely, scheduling the household electricity consumption (downstream) and using flexibility to obtain revenue or avoid the cost. This is usually performed by reducing or shifting the consumption from peak to off-peak hours when the energy is cheaper. Thus, the role of aggregators in EC is significant as they intermediate small-scale energy threads and large entities' requirements, such as grid operators or retailers. On the other hand, in the proposed BM, the aggregators' strategy (upstream) will be to minimize the cost of electricity procurement using consumers’ flexibility. They set up markets to buy flexibility that is valued as long as their costs are reduced.

Interesting insights are revealed, such as when the flexibility price doubles, the deficit coverage increases from 62% to 91% and both parties, consumers and retailers obtain financial benefits from the local market.

One of the limitations of using the potential of flexibility is related to the high costs that are necessary to implement direct load control. Another issue is related to the data privacy aspects related to the breakdown of electricity consumption. Furthermore, data availability for scientific research is limited. However, this study expects that new BM for various EC members will emerge in the future largely depending on Information Communications and Technology developments.

An implementation of a local flexibility market (LFM) using 114 apartments with flexible loads is proposed, demonstrating the gains obtained from trading flexibility. For LFM simulation, this study considers exemplifying a BM using 114 apartments located in a multi-apartment building representing a small urban EC situated in the New England region in North America. Open data recorded in 2016 is provided by UMassTraceRepository.

As a novelty, six BM are proposed considering a bottom-up approach and including various EC members.