A review of data-driven building energy consumption prediction studies
K Amasyali, NM El-Gohary - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy is the lifeblood of modern societies. In the past decades, the world's energy
consumption and associated CO 2 emissions increased rapidly due to the increases in …
consumption and associated CO 2 emissions increased rapidly due to the increases in …
Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC …
In this paper, a comprehensive review of the artificial neural network (ANN) based model
predictive control (MPC) system design is carried out followed by a case study in which ANN …
predictive control (MPC) system design is carried out followed by a case study in which ANN …
Forecasting energy use in buildings using artificial neural networks: A review
J Runge, R Zmeureanu - Energies, 2019 - mdpi.com
During the past century, energy consumption and associated greenhouse gas emissions
have increased drastically due to a wide variety of factors including both technological and …
have increased drastically due to a wide variety of factors including both technological and …
Review of modeling methods for HVAC systems
A Afram, F Janabi-Sharifi - Applied thermal engineering, 2014 - Elsevier
This work presents the literature review of the methods used to model the heating,
ventilation, and air conditioning (HVAC) systems. The model development is necessary for …
ventilation, and air conditioning (HVAC) systems. The model development is necessary for …
Short-term load forecasting in a non-residential building contrasting models and attributes
The electric grid is evolving. Smart grids and demand response systems will increase the
performance of the grid in terms of cost efficiency, resilience and safety. Accurate load …
performance of the grid in terms of cost efficiency, resilience and safety. Accurate load …
Data-driven methods for building control—A review and promising future directions
A review of the heating, ventilation and air-conditioning control problem for buildings is
presented with particular emphasis on its distinguishing features. Next, we not only examine …
presented with particular emphasis on its distinguishing features. Next, we not only examine …
Short-term non-residential load forecasting based on multiple sequences LSTM recurrent neural network
R Jiao, T Zhang, Y Jiang, H He - IEEE Access, 2018 - ieeexplore.ieee.org
The energy consumption by non-residential consumers in China accounts for a significant
proportion of the total energy consumption in the society. Thus, accurate non-residential …
proportion of the total energy consumption in the society. Thus, accurate non-residential …
Neural network model ensembles for building-level electricity load forecasts
JG Jetcheva, M Majidpour, WP Chen - Energy and Buildings, 2014 - Elsevier
The future power grid is expected to provide unprecedented flexibility in how energy is
generated, distributed, and managed, which increasingly necessitates an ability to perform …
generated, distributed, and managed, which increasingly necessitates an ability to perform …
[HTML][HTML] Towards cross-commodity energy-sharing communities–A review of the market, regulatory, and technical situation
S Paiho, J Kiljander, R Sarala, H Siikavirta… - … and Sustainable Energy …, 2021 - Elsevier
Meeting the energy goals of the European Union requires new ways of managing energy.
Decentralized energy management, cross-commodity energy production and usage …
Decentralized energy management, cross-commodity energy production and usage …
Intelligent homes' technologies to optimize the energy performance for the net zero energy home
F AlFaris, A Juaidi, F Manzano-Agugliaro - Energy and Buildings, 2017 - Elsevier
Nowadays the concept of intelligent homes and smart technologies are spreading out and
becoming a vital strategy to optimize the energy performance. Specially that the internet is …
becoming a vital strategy to optimize the energy performance. Specially that the internet is …