Artificial neural networks based optimization techniques: A review
In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …
using optimization techniques. In this paper, we present an extensive review of artificial …
Integration of smart grid with renewable energy sources: Opportunities and challenges–A comprehensive review
Renewable energy is the most promising solution to the rising problem of greenhouse gas
emissions, and it also contributes to environmental protection. A typical electrical grid is a …
emissions, and it also contributes to environmental protection. A typical electrical grid is a …
[HTML][HTML] Residential Demand Side Management model, optimization and future perspective: A review
The residential load sector plays a vital role in terms of its impact on overall power balance,
stability, and efficient power management. However, the load dynamics of the energy …
stability, and efficient power management. However, the load dynamics of the energy …
[HTML][HTML] Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
S Barja-Martinez, M Aragüés-Peñalba… - … and Sustainable Energy …, 2021 - Elsevier
Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …
systems by extracting value from the data generated by the deployed metering and sensing …
State-of-the-art artificial intelligence techniques for distributed smart grids: A review
SS Ali, BJ Choi - Electronics, 2020 - mdpi.com
The power system worldwide is going through a revolutionary transformation due to the
integration with various distributed components, including advanced metering infrastructure …
integration with various distributed components, including advanced metering infrastructure …
Review on home energy management system considering demand responses, smart technologies, and intelligent controllers
The increasing demand for electricity and the emergence of smart grids have presented new
opportunities for a home energy management system (HEMS) that can reduce energy …
opportunities for a home energy management system (HEMS) that can reduce energy …
Home energy management system concepts, configurations, and technologies for the smart grid
Home energy management systems (HEMSs) help manage electricity demand to optimize
energy consumption and distributed renewable energy generation without compromising …
energy consumption and distributed renewable energy generation without compromising …
An optimized home energy management system with integrated renewable energy and storage resources
Traditional power grid and its demand-side management (DSM) techniques are centralized
and mainly focus on industrial consumers. The ignorance of residential and commercial …
and mainly focus on industrial consumers. The ignorance of residential and commercial …
Artificial intelligence enabled demand response: Prospects and challenges in smart grid environment
Demand Response (DR) has gained popularity in recent years as a practical strategy to
increase the sustainability of energy systems while reducing associated costs. Despite this …
increase the sustainability of energy systems while reducing associated costs. Despite this …
A method for predicting long-term municipal water demands under climate change
The accurate forecast of water demand is challenging for water utilities, specifically when
considering the implications of climate change. As such, this is the first study that focuses on …
considering the implications of climate change. As such, this is the first study that focuses on …