A review on optimal energy management in commercial buildings

J Hossain, AFA Kadir, AN Hanafi, H Shareef, T Khatib… - Energies, 2023 - mdpi.com
The rising cost and demand for energy have prompted the need to devise innovative
methods for energy monitoring, control, and conservation. In addition, statistics show that …

Smart Buildings: A Comprehensive Systematic Literature Review on Data-Driven Building Management Systems

A Taboada-Orozco, K Yetongnon… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
Buildings are complex structures composed of heterogeneous elements; these require
building management systems (BMSs) to dynamically adapt them to occupants' needs and …

GT-CFS: A game theoretic coalition formulation strategy for reducing power loss in micro grids

C Wei, ZM Fadlullah, N Kato… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
In recent years, research attention on smart grid comprising distributed power generators
has increased. To produce electricity in the smart grid, many micro grids (MGs) may exploit …

A multiagent minority-game-based demand-response management of smart buildings toward peak load reduction

H Huang, Y Cai, H Xu, H Yu - IEEE Transactions on Computer …, 2016 - ieeexplore.ieee.org
This paper presents a cyber-physical management of smart buildings based on smart-
gateway network with distributed and real-time energy data collection and analytics. We …

Intelligent decision-making model based on minority game for resource allocation in cloud manufacturing

D Carlucci, P Renna, S Materi, G Schiuma - Management decision, 2020 - emerald.com
Purpose This paper proposes a model based on minority game (MG) theory to support the
decision-making regarding the efficient allocation and exploitation of resources/services …

Distributed machine learning on smart-gateway network toward real-time smart-grid energy management with behavior cognition

H Huang, H Xu, Y Cai, RS Khalid, H Yu - ACM Transactions on Design …, 2018 - dl.acm.org
Real-time data analytics for smart-grid energy management is challenging with
consideration of both occupant behavior profiles and energy profiles. This article proposes a …

Optimization of decentralized renewable energy system by weather forecasting and deep machine learning techniques

T Sogabe, H Ichikawa, K Sakamoto… - … -Asia (ISGT-Asia), 2016 - ieeexplore.ieee.org
Conventional electric energy can be easily adopted to a large scale by providing high
quality electricity for wide-area transmissions. However, these energies are usually …

[PDF][PDF] Reducing power losses in smart grids with cooperative game theory

JB Cabrera, MF Veiga, DX Morales… - … and control methods for …, 2019 - library.oapen.org
In a theoretical framework of game theory, one can distinguish between the noncooperative
and the cooperative game theory. While the theory of noncooperative games is about …

Distributed machine learning based smart-grid energy management with occupant cognition

H Xu, H Huang, RS Khalid, H Yu - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
It is challenging to process real-time data analysis and prediction for a smart grid in a
building with consideration of both occupant profile and energy profile. This paper proposed …

When financial economics influences physics: The role of Econophysics

F Jovanovic, RN Mantegna, C Schinckus - International review of financial …, 2019 - Elsevier
The influence of Physics on Financial economics, and more generally on Economics is an
indisputable fact. A number of writers have extensively highlighted contributions of Physics …