Artificial neural networks based optimization techniques: A review

MGM Abdolrasol, SMS Hussain, TS Ustun, MR Sarker… - Electronics, 2021 - mdpi.com
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 …

Integration of smart grid with renewable energy sources: Opportunities and challenges–A comprehensive review

T Kataray, B Nitesh, B Yarram, S Sinha, E Cuce… - Sustainable Energy …, 2023 - Elsevier
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 …

[HTML][HTML] Residential Demand Side Management model, optimization and future perspective: A review

S Panda, S Mohanty, PK Rout, BK Sahu, M Bajaj… - Energy Reports, 2022 - Elsevier
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 …

[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 …

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 …

Review on home energy management system considering demand responses, smart technologies, and intelligent controllers

H Shareef, MS Ahmed, A Mohamed, E Al Hassan - Ieee Access, 2018 - ieeexplore.ieee.org
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 …

Home energy management system concepts, configurations, and technologies for the smart grid

U Zafar, S Bayhan, A Sanfilippo - IEEE access, 2020 - ieeexplore.ieee.org
Home energy management systems (HEMSs) help manage electricity demand to optimize
energy consumption and distributed renewable energy generation without compromising …

An optimized home energy management system with integrated renewable energy and storage resources

A Ahmad, A Khan, N Javaid, HM Hussain, W Abdul… - Energies, 2017 - mdpi.com
Traditional power grid and its demand-side management (DSM) techniques are centralized
and mainly focus on industrial consumers. The ignorance of residential and commercial …

Artificial intelligence enabled demand response: Prospects and challenges in smart grid environment

MA Khan, AM Saleh, M Waseem, IA Sajjad - Ieee Access, 2022 - ieeexplore.ieee.org
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 …

A method for predicting long-term municipal water demands under climate change

SL Zubaidi, S Ortega-Martorell, P Kot… - Water Resources …, 2020 - Springer
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 …