Despite the extensive research on electricity price forecasting, forecasting imbalance prices
is a relatively new topic. Interest, however, is growing because of the greater uncertainties …

Host load prediction is essential for dynamic resource scaling and job scheduling in a cloud
computing environment. In this context, workload prediction is challenging because of …

Increasingly, homeowners opt for photovoltaic (PV) systems and/or battery storage to
minimize their energy bills and maximize renewable energy usage. This has spurred the …

The growing penetration of intermittent, renewable generation in US power grids, especially
wind and solar generation, results in increased operational uncertainty. In that context …

Central air-conditioning is a complex system project, and the assessment and forecasting of
its performance often involves a very large number of factors. Accurate assessment of a …

Time series forecasting is crucial in numerous sectors, including healthcare, energy, and
finance. Transformer models, initially designed for natural language processing …

Many manufacturers of electrical installations in smart home environments have developed
and now offer AI solutions that record and analyze the sensor data from their products. Their …

This research aims to determine the optimal timing for replacing grinding rolls in a coffee
production setting by analyzing and predicting the efficiency loss over time. Using data and …

Compilation is the process of translating the textual representation of source code into
machine code. This process is traditionally implemented as a series of single-threaded …