Reinforcement learning for building controls: The opportunities and challenges

Z Wang, T Hong - Applied Energy, 2020 - Elsevier
Building controls are becoming more important and complicated due to the dynamic and
stochastic energy demand, on-site intermittent energy supply, as well as energy storage …

State-of-the-art on research and applications of machine learning in the building life cycle

T Hong, Z Wang, X Luo, W Zhang - Energy and Buildings, 2020 - Elsevier
Fueled by big data, powerful and affordable computing resources, and advanced algorithms,
machine learning has been explored and applied to buildings research for the past decades …

Reinforcement learning for demand response: A review of algorithms and modeling techniques

JR Vázquez-Canteli, Z Nagy - Applied energy, 2019 - Elsevier
Buildings account for about 40% of the global energy consumption. Renewable energy
resources are one possibility to mitigate the dependence of residential buildings on the …

IoT-based smart homes: A review of system architecture, software, communications, privacy and security

D Mocrii, Y Chen, P Musilek - Internet of Things, 2018 - Elsevier
This article presents a review of major technologies of IoT-based smart homes. It starts with
definition of the smart home that sets the perspective adopted in the review. In addition to …

Modified PSO algorithm for real-time energy management in grid-connected microgrids

MA Hossain, HR Pota, S Squartini, AF Abdou - Renewable energy, 2019 - Elsevier
In real-time energy management of a converter-based microgrid, it is difficult to determine
optimal operating points of a storage system in order to save costs and minimise energy …

GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey

M Uyan - Renewable and Sustainable Energy Reviews, 2013 - Elsevier
Renewable energy is clean sources and has a much lower environmental impact than other
energy sources. In Turkey, solar energy investments have been developed rapidly in recent …

Residential energy scheduling for variable weather solar energy based on adaptive dynamic programming

D Liu, Y Xu, Q Wei, X Liu - IEEE/CAA Journal of Automatica …, 2017 - ieeexplore.ieee.org
The residential energy scheduling of solar energy is an important research area of smart
grid. On the demand side, factors such as household loads, storage batteries, the outside …

A home energy management system with renewable energy and energy storage utilizing main grid and electricity selling

HT Dinh, J Yun, DM Kim, KH Lee, D Kim - IEEE access, 2020 - ieeexplore.ieee.org
With the development of new technologies in the field of renewable energy and batteries,
increasing number of houses have been equipped with renewable energy sources (RES) …

Reinforcement learning techniques for optimal power control in grid-connected microgrids: A comprehensive review

EO Arwa, KA Folly - Ieee Access, 2020 - ieeexplore.ieee.org
Utility grids are undergoing several upgrades. Distributed generators that are supplied by
intermittent renewable energy sources (RES) are being connected to the grids. As RES get …

Energy scheduling of community microgrid with battery cost using particle swarm optimisation

MA Hossain, HR Pota, S Squartini, F Zaman… - Applied Energy, 2019 - Elsevier
The integration of renewable energy sources together with an energy storage system into a
distribution network has become essential not only to maintain continuous electricity supply …