A sustainable, balanced energy portfolio is necessary for a country's continued economic
growth. This portfolio must collectively be able to provide reliable, resilient electricity at …

Nowadays, with the rapid growth of the internet of things (IoT), massive amounts of time
series data are being generated. Time series data play an important role in scientific and …

Considering the necessity to have accurate inflation forecasts in a pandemic period with
hyperinflation in many countries, the aim of this study is to improve the quarterly inflation …

This roadmap defines potential industrial scale integrated energy systems (IES) and
identifies key technology gaps to achieving commercial deployment of such systems. IES …

With increasing grid-penetration of renewable energy resources and a rising need for
carbon-free dispatchable power generation, nuclear-hybrid energy systems (NHES) …

Mold growth in residential and commercial buildings poses a serious problem to various
communities. There are several facets of the problem, the most prominent of which are …

The aim of this research is to propose a binary segmentation algorithm to detect the change
points in financial time-series based on the Iterative Cumulative Sum of Squares (ICSS). The …

The generation from renewable sources has increased significantly worldwide, mainly
driven by the need to reduce the global emissions of greenhouse gases, decelerate climate …

Thanks to various European directives, individuals are empowered to share and trade
electricity within Renewable Energy Communities, enhancing the operational efficiency of …

As energy system design moves to more complex methods of optimisation including
machine learning there is a significant need for more weather data than is available. One …