A comprehensive review of Artificial Intelligence (AI) companies in the power sector

V Franki, D Majnarić, A Višković - Energies, 2023 - mdpi.com
There is an ongoing, revolutionary transformation occurring across the globe. This
transformation is altering established processes, disrupting traditional business models and …

A comprehensive review of electric vehicle charging stations with solar photovoltaic system considering market, technical requirements, network implications, and …

AJ Alrubaie, M Salem, K Yahya, M Mohamed… - Sustainability, 2023 - mdpi.com
Electric cars (EVs) are getting more and more popular across the globe. While comparing
traditional utility grid-based EV charging, photovoltaic (PV) powered EV charging may …

Managing the strategic transformation of higher education through artificial intelligence

B George, O Wooden - Administrative Sciences, 2023 - mdpi.com
Considering the rapid advancements in artificial intelligence (AI) and their potential
implications for the higher education sector, this article seeks to critically evaluate the …

Golf optimization algorithm: A new game-based metaheuristic algorithm and its application to energy commitment problem considering resilience

Z Montazeri, T Niknam, J Aghaei, OP Malik… - Biomimetics, 2023 - mdpi.com
In this research article, we uphold the principles of the No Free Lunch theorem and employ it
as a driving force to introduce an innovative game-based metaheuristic technique named …

AI-Driven urban energy solutions—from individuals to society: a review

K Stecuła, R Wolniak, WW Grebski - Energies, 2023 - mdpi.com
This paper provides a comprehensive review of solutions based on artificial intelligence (AI)
in the urban energy sector, with a focus on their applications and impacts. The study …

A review on the applications of PSO-based algorithm in demand side management: challenges and opportunities

FA Zaini, MF Sulaima, IAWA Razak, NI Zulkafli… - IEEE …, 2023 - ieeexplore.ieee.org
The increase in energy consumption, environmental pollution issues, and low-carbon
agenda has grown the research area of demand side management (DSM). DSM programs …

Grey-box and ANN-based building models for multistep-ahead prediction of indoor temperature to implement model predictive control

A Talib, S Park, P Im, J Joe - Engineering Applications of Artificial …, 2023 - Elsevier
Abstract Model-based predictive control (MPC) strategies for heating, ventilation, and air-
conditioning (HVAC) systems present an opportunity to lower building energy consumption …

[HTML][HTML] Review on optimization techniques used for smart grid

S Akkara, I Selvakumar - Measurement: Sensors, 2023 - Elsevier
Smart grids provide many benefits to the technological era, although they need to be
optimized. The smart grid uses many optimizing methods to save energy, reduce costs, and …

[HTML][HTML] Smart home energy management systems: Research challenges and survey

A Raza, L Jingzhao, Y Ghadi, M Adnan, M Ali - Alexandria Engineering …, 2024 - Elsevier
Electricity is establishing ground as a means of energy, and its proportion will continue to
rise in the next generations. Home energy usage is expected to increase by more than 40 …

Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building

MH Sulaiman, Z Mustaffa - Journal of Building Engineering, 2023 - Elsevier
This paper presents a simulation study focused on optimizing user comfort and energy
consumption in smart buildings. Managing energy efficiently in smart buildings poses a …