H Hampton, A Foley, DF Del Rio, B Smyth… - Energy Research & …, 2022 - Elsevier
Retail electricity markets require development to ensure efficient and equitable pass through of wholesale electricity costs to customers. Customer engagement has been heralded as a …
Various ensemble machine learning techniques have been widely studied and implemented to construct the predictive models in different sciences, including bagging, boosting, and …
Given by the ambitious GHG mitigation targets set by governments worldwide, household is playing an increasingly important role for reaching listed reduction goals. Consequently, a …
The primary mission of the healthcare sector is to protect from various ailments with improved healthcare services and to use advanced diagnostic solutions to promote reliable …
S Garai, RK Paul - Intelligent Systems with Applications, 2023 - Elsevier
In this paper, stock price data has been predicted using several state-of-the-art methodologies such as stochastic models, machine learning techniqus, and deep learning …
The widespread adoption of cyber-physical systems and other cutting-edge digital technology in manufacturing industry production facilities may motivate stakeholders to …
C Li, Y Zhang, X Li, Y Hao - Resources Policy, 2024 - Elsevier
Ensuring access to affordable energy for all is laid out among the 17 Sustainable Development Goals and it remains an important open question as to how the popularity and …
D Wu, Y Geng, Y Zhang, W Wei - Journal of Cleaner Production, 2022 - Elsevier
China's rapid urbanization has resulted in increasing household electricity consumption (HEC). However, significant urban-rural disparity exists due to different consumption …
AI and big data technologies have been increasingly deployed to process complex, heterogeneous, high-resolution environmental data, and generate results at greater speeds …