Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …

Supply chains (SCs) are increasingly vulnerable to disruptive events, posing risks to all
involved parties. Managing and mitigating these risks is crucial for resilient and sustainable …

Industry 4.0 is in continuous technological growth that benefits all sectors of industry and
society in general. This article reviews the Digital Twin (DT) concept and the interest of its …

Wind and photovoltaic (PV) power forecasting are crucial for improving the operational
efficiency of power systems and building smart power systems. However, the uncertainty …

The increasing installed volume of grid-connected PV systems in modern electricity
networks induces variability and uncertainty factors which must be addressed from several …

The paper presents the results of studies of the predictive models development based on
retrospective data on planned electricity consumption in the region with a significant share of …

This article presents the research results on creating prediction models using historical data
on projected power usage in an area with many sectors. Given the constantly high energy …

Представлены результаты исследований по разработке прогностических моделей по
ретроспективным данным о плановом потреблении электроэнергии в регионе со …

Abstract A Fuzzy Cognitive Map can serve to externalize the mental model of an individual
or group. However, mental models do not directly communicate, in the same way as two …

The quality of public services is critical in providing effective and responsive governance in
an increasingly digital society. The development of the YuhSinau application by the …