In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

The efficiency, flexibility, and resilience of building-integrated energy systems are
challenged by unpredicted changes in operational environments due to climate change and …

The economic sector is one of the most important pillars of countries. Economic activities of
industry are intimately linked with the ability to meet their needs for electricity. Therefore …

An accurate short-term load forecasting (STLF) is one of the most critical inputs for power
plant units' planning commitment. STLF reduces the overall planning uncertainty added by …

Redundant consumption of energy in buildings is an important issue that causes increasing
problems of climate change and global warming in the world. Therefore, it is necessary to …

The emerging leading role of green energy in our society pushes the investigation of new
economic and technological solutions. Green energies and smart communities increase …

The development of data-driven building energy consumption prediction models has gained
more attention in research due to its relevance for energy planning and conservation …

Accurate forecasting of stock prices has been a challenge in the securities market, while the
stock price time series tend to be non-stationary, non-linear, and highly noisy. At present, the …

Accurate prediction of electricity consumption is essential for providing actionable insights to
decision-makers for managing volume and potential trends in future energy consumption for …

End product quality prediction is one of the key issues in smart manufacturing. Reliable
evaluation and parameter optimization is needed to ensure their high-quality production …