Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and plays a crucial role in electric capacity scheduling and power systems management and, therefore, it has attracted increasing academic interest. Hence, the accuracy of electric load forecasting has great importance for energy generating capacity scheduling and power system management. This paper presents a review of forecasting methods and models for electricity load. About 45 academic papers have been used for the comparison based on specified criteria such as time frame, inputs, outputs, the scale of the project, and value. The review reveals that despite the relative simplicity of all reviewed models, the regression analysis is still widely used and efficient for long-term forecasting. As for short-term predictions, machine learning or artificial intelligence-based models such as Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Fuzzy logic are favored.

Due to the complexity of building supply chain resilience (SCR) towards long-term environmental sustainability amendments, the use of emerging technologies such as Blockchain Technology (BCT) can be adopted as an innovative tool to enhance the sustainability and resilience of supply chains, especially in uncertain environments. Drawing on the Knowledge-Based View (KBV) and Dynamic Capability View (DCV), this research aims to demonstrate how the adoption of BCT can enhance the environmental supply chain performance (SCP). A total of 603 valid surveys were collected from respondents from manufacturing and service organizations in Egypt. The collected data were analyzed using structural equation modelling, and results revealed that BCT adoption alone had a negative direct impact on environmental SCP. However, when this relationship was mediated by SCR and sequentially mediated by customer integration and green customer information sharing, the results were positive. This research presents insights on how organizations can adapt to dynamic business environments, and, in addition, it extends the theories of KBV and DCV in an empirical contribution by filling the gap in understanding regarding how environmental SCP can be enhanced through the adoption of BCT.

In this paper a method for throughput performance calculation of shuttle based storage and retrieval systems (SBS/RS) is presented. SBS/RS represent a new technology in automated storage and retrieval systems. Since it is important to...

To enable an objective measurement of the progress in the operation of third-party logistics service providers in supply chains, we developed a model that shows the sustainability of the outsourced elements of a company’s business. The...

E-marketplaces have become an essential part of e-commerce. In our research a decentralised agent-based e-marketplace platform was devised. The goal of our research is to improve overall supply chain service quality by allowing...

Background and Purpose: Quality within a healthcare system does not comprise only actions defined through certificates or required by law, standards and protocols; it is also defined by the well-being of healthcare workers on the one hand and patients on the other. The purpose paper is to analyse the link between the engagement of nurses and factors related to enhancing patient quality and safety. Methods: The research involved 206 nursing employees from Slovenia’s general hospitals. The questionnaire consists of four sections: employee engagement, the measure of self-efficacy, statements referring to various tools and methods that are used in nursing in daily work and that contribute to the quality of work, interpersonal relationships in the workplace between different professional groups within medical treatment, and attitude towards changes. Results: Compared to other professions, nursing employees showed an above-average level of engagement. Younger respondents were more engaged in their work, and their self-efficacy level was higher. The frequency of using tools intended to enhance the quality of nursing correlates statistically typically and positively with self-efficacy, engagement and willingness to accept change. The analysed factors are interdependent. Engagement results from workplace interactions; employees who feel better in their workplace will be more oriented towards the future, be more open to innovation, and use various tools and approaches to enhance the work’s quality. Conclusion: Analysed concepts are closely connected and interdependent. The findings are essential for the successful and efficient management of hospitals and for ensuring patient quality and safety.