[HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective
Economic development and the comfort-loving nature of human beings in recent years have
resulted in increased energy demand. Since energy resources are scarce and should be …
resulted in increased energy demand. Since energy resources are scarce and should be …
[HTML][HTML] Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies
As one of the most important and advanced technology for carbon-mitigation in the building
sector, building performance simulation (BPS) has played an increasingly important role …
sector, building performance simulation (BPS) has played an increasingly important role …
Demand side management in microgrid: A critical review of key issues and recent trends
D Kanakadhurga, N Prabaharan - Renewable and Sustainable Energy …, 2022 - Elsevier
In a deregulated power system, Demand Side Management (DSM) plays a vital role in
handling the uncertain renewable power generation and load. The flat load-profile can be …
handling the uncertain renewable power generation and load. The flat load-profile can be …
Applications of artificial intelligence and machine learning in smart cities
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …
maintain a green environment, improve the economic and living standards of their citizens …
Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage
D Rangel-Martinez, KDP Nigam… - … Research and Design, 2021 - Elsevier
This study presents a broad view of the current state of the art of ML applications in the
manufacturing sectors that have a considerable impact on sustainability and the …
manufacturing sectors that have a considerable impact on sustainability and the …
Prosumers as active market participants: A systematic review of evolution of opportunities, models and challenges
The possibility of onsite production and flexible consumption is transforming consumers from
passive users to active service providers in power systems with the large share of renewable …
passive users to active service providers in power systems with the large share of renewable …
Smart technologies for promotion of energy efficiency, utilization of sustainable resources and waste management
The role of smart technologies can become very important and useful to solve the main
population issues nowadays and provide foundations for a sustainable future. A smart …
population issues nowadays and provide foundations for a sustainable future. A smart …
Resilient machine learning for networked cyber physical systems: A survey for machine learning security to securing machine learning for CPS
Cyber Physical Systems (CPS) are characterized by their ability to integrate the physical and
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …
Machine learning driven smart electric power systems: Current trends and new perspectives
MS Ibrahim, W Dong, Q Yang - Applied Energy, 2020 - Elsevier
The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …
Distributed energy resources and the application of AI, IoT, and blockchain in smart grids
Smart grid (SG), an evolving concept in the modern power infrastructure, enables the two-
way flow of electricity and data between the peers within the electricity system networks …
way flow of electricity and data between the peers within the electricity system networks …