Methods and attributes for customer-centric dynamic electricity tariff design: A review
Most of the developed and develo** countries around the world are delving into the
implementation of demand response (DR) strategies in demand side management (DSM) to …
implementation of demand response (DR) strategies in demand side management (DSM) to …
[HTML][HTML] Artificial Intelligence-Based Electric Vehicle Smart Charging System in Malaysia
The worldwide transition to electric vehicles (EVs) is gaining momentum, propelled by the
imperative to reduce carbon emissions and foster sustainable transportation. In Malaysia …
imperative to reduce carbon emissions and foster sustainable transportation. In Malaysia …
[PDF][PDF] AI learning-driven optimization of microgrid systems for rural electrification and economic empowerment
Agupugo, Barrie, Makai, & Alaka, P. No. 2835-2851 Page 2836 profound. Improved system
reliability and efficiency result in more stable energy supplies, which is crucial for supporting …
reliability and efficiency result in more stable energy supplies, which is crucial for supporting …
[HTML][HTML] Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications
Electrical power systems are the lifeblood of modern civilization, providing the essential
energy infrastructure that powers our homes, industries, and technologies. As our world …
energy infrastructure that powers our homes, industries, and technologies. As our world …
Research progress and prospects of machine learning applications in renewable energy: a comprehensive bibliometric-based review
XP Wang, Y Shen, C Su - International Journal of Environmental Science …, 2024 - Springer
The stability of power system operations is being challenged by the rapid development of
renewable energy. A viable solution is to achieve accurate renewable energy forecasting. In …
renewable energy. A viable solution is to achieve accurate renewable energy forecasting. In …
Anime face recognition to create awareness
P A-masiri, C Kerdvibulvech - International Journal of Information …, 2023 - Springer
Due to the researcher's interest in two topics, the first being Japan's anime industry.
Although many anime series have ended, they remain popular today, with over 150 new …
Although many anime series have ended, they remain popular today, with over 150 new …
Demand response optimization for smart grid integrated buildings: Review of technology enablers landscape and innovation challenges
This paper provides a comprehensive overview and analysis of state-of-the-art technological
advancements in building integration in smart grids, with a focus on enabling their …
advancements in building integration in smart grids, with a focus on enabling their …
Recent Trends and Issues of Energy Management Systems Using Machine Learning
Energy management systems (EMSs) are regarded as essential components within smart
grids. In pursuit of efficiency, reliability, stability, and sustainability, an integrated EMS …
grids. In pursuit of efficiency, reliability, stability, and sustainability, an integrated EMS …
Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume
The energy transition to a cleaner environment has been a concern for many researchers
and policy makers, as well as communities and non-governmental organizations. The effects …
and policy makers, as well as communities and non-governmental organizations. The effects …
Leveraging Bitcoin miners as flexible load resources for power system stability and efficiency
N Carter, S Connell, B Jones, D Porter… - Available at …, 2023 - papers.ssrn.com
This review examines the role of Bitcoin mining as a possible catalyst for accelerating the
global shift towards clean energy and effective power grid management. Amidst the evolving …
global shift towards clean energy and effective power grid management. Amidst the evolving …