Exploiting nature-inspired-based artificial intelligence techniques for coordinated day-ahead scheduling to efficiently manage energy in smart grid

ZA Khan, A Khalid, N Javaid, A Haseeb, T Saba… - IEEE …, 2019 - ieeexplore.ieee.org
The increasing load demand in residential area and irregular electricity load profile
encouraged us to propose an efficient Home Energy Management System (HEMS) for …

A characteristic-oriented strategy for ranking and near-optimal selection of phase change materials for thermal energy storage in building applications

MB Awan, Z Ma, W Lin, AK Pandey, VV Tyagi - Journal of Energy Storage, 2023 - Elsevier
This paper presents a methodological approach for characteristic-based selection of phase
change materials (PCMs) for thermal energy storage in building applications. Unlike …

[HTML][HTML] A sustainable approach for demand side management considering demand response and renewable energy in smart grids

SY Ahmad, G Hafeez, K Aurangzeb… - Frontiers in Energy …, 2023 - frontiersin.org
The development of smart grids has revolutionized modern energy markets, enabling users
to participate in demand response (DR) programs and maintain a balance between power …

[HTML][HTML] Optimal integration of solar home systems and appliance scheduling for residential homes under severe national load shedding

S Twala, X Ye, X Xia, L Zhang - Journal of Automation and Intelligence, 2023 - Elsevier
In developing countries like South Africa, users experienced more than 1 030 hours of load
shedding outages in just the first half of 2023 due to inadequate power supply from the …

[HTML][HTML] Rating the participation in demand response programs for a more accurate aggregated schedule of consumers after enrolment period

C Silva, P Faria, Z Vale - Electronics, 2020 - mdpi.com
Aggregation of small size consumers and Distributed Generation (DG) units have a
considerable impact to catch the full flexibility potential, in the context of Demand Response …

[HTML][HTML] An incentive-based optimization approach for load scheduling problem in smart building communities

SD Nazemi, MA Jafari, E Zaidan - Buildings, 2021 - mdpi.com
The impact of load growth on electricity peak demand is becoming a vital concern for
utilities. To prevent the need to build new power plants or upgrade transmission lines, power …

[HTML][HTML] A new pricing scheme for intra-microgrid and inter-microgrid local energy trading

SN Islam - Electronics, 2019 - mdpi.com
In this paper, an optimum pricing scheme has been designed to maximize the profits earned
by sellers in microgrids through intra-microgrid and inter-microgrid local energy trading. The …

From Sensors to Insights: An Original Method for Consumer Behavior Identification in Appliance Usage

RL Portase, R Tolas, R Potolea - Electronics, 2024 - mdpi.com
In light of the energy crisis, extensive research is being conducted to enhance load
forecasting, optimize the targeting of demand response programs, and advise building …

Evaluation and improvement of energy flexibility and performance of building heating, ventilation, and air-conditioning systems

MB Awan - 2023 - ro.uow.edu.au
The foreseen reduction of available fossil fuels, the continued increase in global energy
demand, and the irrefutable evidence of climate change, along with the implementation of a …

Effective demand response gathering and deployment in smart grids for intensive renewable integration using aggregation and machine learning

CVC Silva - 2023 - gredos.usal.es
Distributed generation, namely renewables-based technologies, have emerged as a crucial
component in the transition to mitigate the effects of climate change, providing a …