Data-Driven Analytics for Reliability in the Buildings-to-Grid Integrated System Framework: A Systematic Text-Mining-Assisted Literature Review and Trend Analysis
Data-driven machine learning-based methods have provided immense capabilities,
revolutionizing sectors like the Buildings-to-grid (B2G) integrated system. Since the …
revolutionizing sectors like the Buildings-to-grid (B2G) integrated system. Since the …
Optimal robust control based on partial derivative plant approximation for frequency support using multiple DC microgrids
A Joshi, S Kamalasadan - IEEE Transactions on Industry …, 2021 - ieeexplore.ieee.org
In this article, an uncertainty-based optimal control framework is proposed for the hybrid
energy storage system (HESS), which allows for improved frequency regulation of a …
energy storage system (HESS), which allows for improved frequency regulation of a …
Optimization, Learning, and Control for Energy Networks
MK Singh - 2021 - vtechworks.lib.vt.edu
Massive infrastructure networks such as electric power, natural gas, or water systems play a
pivotal role in everyday human lives. Development and operation of these networks is …
pivotal role in everyday human lives. Development and operation of these networks is …