... Long short-term memory long short-term memory. In: Supervised Sequence Labelling with Recurrent Neural Networks ... advanced metering infrastructure.: Int. J. Crit. Infras- truct. Prot. 34, 100410 (2021). https://www.sciencedirect ...

This work performs a comparative study on the problem of Short-Term Load Forecast, by using different classes of state-of-the-art Recurrent Neural Networks.

This book aims to make the best use of fine-grained smart meter data to process and translate them into actual information and incorporated into consumer behavior modeling and distribution system operations.

This book is about making machine learning models and their decisions interpretable.

THE CONTEXT OF PARALLEL PROCESSING The field of digital computer architecture has grown explosively in the past two decades.

This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways.

Offering an up-to-date account of the strategies utilized in state estimation of electric power systems, this text provides a broad overview of power system operation and the role of state estimation in overall energy management.

This book is an important resource in helping to understand the intricacies of global climate change.

This book presents state-of-the-art intelligent methods and techniques for solving real-world problems and offers a vision of future research.

This book provides a recent view of research works on essential, and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems.