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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 …
A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models
Building energy use prediction plays an important role in building energy management and
conservation as it can help us to evaluate building energy efficiency, conduct building …
conservation as it can help us to evaluate building energy efficiency, conduct building …
Building information modelling-enabled multi-objective optimization for energy consumption parametric analysis in green buildings design using hybrid machine …
Green buildings (GB) have been widely promoted in various nations. However, the post
occupancy evaluation suggests many GB cannot well fulfill the expected targets. To …
occupancy evaluation suggests many GB cannot well fulfill the expected targets. To …
Prediction and optimization of heating and cooling loads in a residential building based on multi-layer perceptron neural network and different optimization algorithms
Y Xu, F Li, A Asgari - Energy, 2022 - Elsevier
Since cooling and heating loads are regarded as significant parameters to examine the
energy performance of buildings, the need to predict and analyze them for the residential …
energy performance of buildings, the need to predict and analyze them for the residential …
Employing artificial bee colony and particle swarm techniques for optimizing a neural network in prediction of heating and cooling loads of residential buildings
G Zhou, H Moayedi, M Bahiraei, Z Lyu - Journal of Cleaner Production, 2020 - Elsevier
In this paper, the Multi-Layer Perceptron (MLP) neural network is optimized with two
metaheuristic algorithms, namely Artificial Bee Colony (ABC) and Particle Swarm …
metaheuristic algorithms, namely Artificial Bee Colony (ABC) and Particle Swarm …