[HTML][HTML] Technological advancements toward smart energy management in smart cities

P Pandiyan, S Saravanan, K Usha, R Kannadasan… - Energy Reports, 2023 - Elsevier
This comprehensive review paper examines the technological advancements towards smart
energy management in smart cities. It provides an overview of the concept of smart energy …

Sustainable building climate control with renewable energy sources using nonlinear model predictive control

WH Chen, F You - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Sustainable energy sources are promising solutions for reducing carbon footprint and
environmental impacts within the building sectors. Reducing energy consumption while …

[HTML][HTML] Adaptive-predictive control strategy for HVAC systems in smart buildings–A review

M Gholamzadehmir, C Del Pero, S Buffa… - Sustainable Cities and …, 2020 - Elsevier
High share of energy consumption in buildings and subsequent increase in greenhouse gas
emissions along with stricter legislations have motivated researchers to look for sustainable …

Energy management and planning in smart cities

CF Calvillo, A Sánchez-Miralles, J Villar - Renewable and Sustainable …, 2016 - Elsevier
A smart city is a sustainable and efficient urban centre that provides a high quality of life to its
inhabitants through optimal management of its resources. Energy management is one of the …

A review on optimized control systems for building energy and comfort management of smart sustainable buildings

PH Shaikh, NBM Nor, P Nallagownden… - … and Sustainable Energy …, 2014 - Elsevier
Buildings all around the world consume a significant amount of energy, which is more or
less one-third of the total primary energy resources. This has raised concerns over energy …

Ten questions concerning model predictive control for energy efficient buildings

M Killian, M Kozek - Building and Environment, 2016 - Elsevier
Buildings are dynamical systems with several control challenges: large storage capacities,
switching aggregates, technical and thermal constraints, and internal and external …

Data center cooling using model-predictive control

N Lazic, C Boutilier, T Lu, E Wong… - Advances in …, 2018 - proceedings.neurips.cc
Despite impressive recent advances in reinforcement learning (RL), its deployment in real-
world physical systems is often complicated by unexpected events, limited data, and the …

Optimal control via neural networks: A convex approach

Y Chen, Y Shi, B Zhang - arxiv preprint arxiv:1805.11835, 2018 - arxiv.org
Control of complex systems involves both system identification and controller design. Deep
neural networks have proven to be successful in many identification tasks, however, from …

Building modeling as a crucial part for building predictive control

S Privara, J Cigler, Z Váňa, F Oldewurtel… - Energy and …, 2013 - Elsevier
Recent results show that a predictive building automation can be used to operate buildings
in an energy and cost effective manner with only a small retrofitting requirements. In this …

Predictive control strategies based on weather forecast in buildings with energy storage system: A review of the state-of-the art

H Thieblemont, F Haghighat, R Ooka, A Moreau - Energy and Buildings, 2017 - Elsevier
Energy storage systems play a crucial role in decreasing building energy consumption
during peak periods and expanding the use of renewable energies in buildings and …