[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 …

A review on energy consumption optimization techniques in IoT based smart building environments

AS Shah, H Nasir, M Fayaz, A Lajis, A Shah - Information, 2019 - mdpi.com
In recent years, due to the unnecessary wastage of electrical energy in residential buildings,
the requirement of energy optimization and user comfort has gained vital importance. In the …

[HTML][HTML] A new methodology for reducing carbon emissions using multi-renewable energy systems and artificial intelligence

BN Alhasnawi, SMM Almutoki, FFK Hussain… - Sustainable Cities and …, 2024 - Elsevier
Microgrid cost management is a significant difficulty because the energy generated by
microgrids is typically derived from a variety of renewable and non-renewable sources …

A multi-objective improved cockroach swarm algorithm approach for apartment energy management systems

BN Alhasnawi, BH Jasim, AM Jasim, V Bureš… - Information, 2023 - mdpi.com
The electrical demand and generation in power systems is currently the biggest source of
uncertainty for an electricity provider. For a dependable and financially advantageous …

Recent advances in Internet of Things (IoT) infrastructures for building energy systems: A review

W Yaïci, K Krishnamurthy, E Entchev, M Longo - Sensors, 2021 - mdpi.com
This paper summarises a literature review on the applications of Internet of Things (IoT) with
the aim of enhancing building energy use and reducing greenhouse gas emissions (GHGs) …

A prediction methodology of energy consumption based on deep extreme learning machine and comparative analysis in residential buildings

M Fayaz, DH Kim - Electronics, 2018 - mdpi.com
In this paper, we have proposed a methodology for energy consumption prediction in
residential buildings. The proposed method consists of four different layers, namely data …

A comprehensive review on residential demand side management strategies in smart grid environment

S Iqbal, M Sarfraz, M Ayyub, M Tariq, RK Chakrabortty… - Sustainability, 2021 - mdpi.com
The ever increasing demand for electricity and the rapid increase in the number of automatic
electrical appliances have posed a critical energy management challenge for both utilities …

Intelligent controllers and optimization algorithms for building energy management towards achieving sustainable development: challenges and prospects

K Parvin, MSH Lipu, MA Hannan, MA Abdullah… - IEEE …, 2021 - ieeexplore.ieee.org
Buildings account for a significant amount of energy consumption leading to the issues of
global emissions and climate change. Thus, energy management in a building is …

Model predictive control for demand side management in buildings: A survey

M Farrokhifar, H Bahmani, B Faridpak, A Safari… - Sustainable Cities and …, 2021 - Elsevier
Buildings are responsible for a large portion of the world's energy consumption. Any
measure that can be taken to optimize the use of energy related to them must be considered …

Energy efficient uplink transmission in cooperative mmWave NOMA networks with wireless power transfer

A Khazali, D Tarchi, MG Shayesteh… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In 5G wireless networks, cooperative non-orthogonal multiple access (NOMA) and wireless
power transfer (WPT) are efficient ways to improve the spectral efficiency (SE) and energy …