Uncertainty management in electricity demand forecasting with machine learning and ensemble learning: Case studies of COVID-19 in the US metropolitans

Improving load forecasting is becoming increasingly crucial for power system management and operational research. Disruptive influences can seriously impact both the supply and demand sides of power. This work examines the impact of the coronavirus on power usage in two US states from January 2020 to December 2020. A wide range of machine learning (ML) algorithms and ensemble learning are employed to conduct the analysis. The findings showed a surprising increase in monthly power use changes in Florida and Texas during the COVID-19 pandemic, in contrast to New York, where usage decreased over the same period. In Texas, the quantity of power usage rises from 2% to 6% practically every month, except for September, when it decreased by around 1%. For Florida, except for May, which showed a fall of roughly 2.5%, the growth varied from 2.5% to 7.5%. This indicates the need for more extensive research into such systems and the applicability of adopting groups of algorithms in learning the trends of electric power demand during uncertain events. Such learning will be helpful in forecasting future power demand changes due to especially public health-related scenarios. © 2023 Elsevier Ltd

Human Resource Management and Organizational Resilience in the Era of COVID-19: Theoretical Insights, Challenges and Implications

The emergence of the COVID-19 pandemic is currently considered as a critical global health crisis that endangers the health and safety of individuals. This new disease not only assesses organization's resilience but also their ability to follow an altered strategy that enables them to adapt to these trigger events. This situation creates an environment of uncertainty for their workforce and generates instant threats to their performance and sustainability. Therefore, organizations' leaders are taking strategic actions to face effectively these critical circumstances by renewing their human resource strategies. This paper conducted a thorough literature review to elaborate a critical analysis of insights, challenges, and implications for human resource management (HRM) in the era of COVID-19. The results of this research paper reveled that resilient organizations can better support their workforce to cope with this newly altered work environment. Decision makers must adopt the organizational resilience approach in order to achieve outstanding performance in a dynamic environment. © 2020 IEEE.