[HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective

A Entezari, A Aslani, R Zahedi, Y Noorollahi - Energy Strategy Reviews, 2023 - Elsevier
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 …

[HTML][HTML] Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies

Y Pan, M Zhu, Y Lv, Y Yang, Y Liang, R Yin… - Advances in Applied …, 2023 - Elsevier
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 …

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 …

Applications of artificial intelligence and machine learning in smart cities

Z Ullah, F Al-Turjman, L Mostarda… - Computer Communications, 2020 - Elsevier
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
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 …

Prosumers as active market participants: A systematic review of evolution of opportunities, models and challenges

M Gržanić, T Capuder, N Zhang, W Huang - Renewable and Sustainable …, 2022 - Elsevier
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 …

Smart technologies for promotion of energy efficiency, utilization of sustainable resources and waste management

S Nižetić, N Djilali, A Papadopoulos… - Journal of cleaner …, 2019 - Elsevier
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 …

Resilient machine learning for networked cyber physical systems: A survey for machine learning security to securing machine learning for CPS

FO Olowononi, DB Rawat, C Liu - … Communications Surveys & …, 2020 - ieeexplore.ieee.org
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 …

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 …

Distributed energy resources and the application of AI, IoT, and blockchain in smart grids

NM Kumar, AA Chand, M Malvoni, KA Prasad… - Energies, 2020 - mdpi.com
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 …