There have been many theoretical studies of the nature of concurrent relationships between
climate indices and rainfall for Queensland, but relatively few of these studies have …

With the development of Internet techniques, data volumes are doubling every two years,
faster than predicted by Moore's Law. Big Data Analytics becomes particularly important for …

World health organization's estimates reveal that air pollution kills almost 6.5 million people
in the world every year. As human beings, on average, spend 80–90% of their routine time …

Cooling load refers to the amount of energy to be removed from a space (or consumed) to
bring that space to an acceptable temperature or to maintain the temperature of a space at …

This paper presents a comprehensive survey of AI-driven mini-grid solutions aimed at
enhancing sustainable energy access. It emphasises the potential of mini-grids, which can …

Prediction of stock market has been a challenging task and of great interest for researchers
as the very fact that stock market is a highly volatile in its behavior. For predicting stock price …

Predicting the stock market has become an increasingly interesting research area for both
researchers and investors, and many prediction models have been proposed. In these …

In February 2021, the state of Texas and large parts of the US were affected by a severe cold
air outbreak and winter weather event. This event resulted in large-scale power outages and …

This paper presents a study conducted in Osijek-Baranja County, Croatia, to predict
electrical energy consumption in school buildings. Data from the Energy Management …

This article presents a real-time data analysis platform to forecast water consumption with
Machine-Learning (ML) techniques. The strategy fully relies on a web-oriented architecture …