Market models and optimization techniques to support the decision-making on demand response for prosumers

WN Silva, LF Henrique, AFPC Silva, BH Dias… - Electric Power Systems …, 2022 - Elsevier
Demand Response (DR) programs are essential for easing end-user demand on the power
system, adding benefits across the power sector by reducing peak demand and power flow …

Interpreting Housing Prices with a MultidisciplinaryApproach Based on Nature-Inspired Algorithms and Quantum Computing

P De Paola, S Previtera, B Manganelli, F Forte… - Buildings, 2023 - mdpi.com
Current technology still does not allow the use of quantum computers for broader and
individual uses; however, it is possible to simulate some of its potentialities through quantum …

Cost efficient hybrid techniques for DSM in smart homes

R Bukhsh, N Javaid, MI Khan… - … Journal of Ad Hoc …, 2020 - inderscienceonline.com
In smart grid, the minimum cost for power consumption is attained by scheduling the
appliances load. Shifting the appliances load from on-peak to off-peak time reduces the cost …

[PDF][PDF] On Optimizing Energy Consumption with Combined Operations of Microgrids for Demand Side Management in Smart Homes

Z Iqbal - 2018 - researchgate.net
In this chapter, we will discuss the significance of the Smart Grid (SG), the role of SG in
traditional grid, role of Microgrids (MGs) and other Renewable Energy Sources (RESs) …

[PDF][PDF] Towards Smart Cities: A Move for Efficient Energy Management From a Home to Cities Exploiting Clouds

R Bukhsh - 2020 - researchgate.net
This is to certify that the research work presented in this thesis, entitled “Towards Smart
Cities: A Move for Efficient Energy Management From a Home to Cities Exploiting Clouds” …