Prediction of residential district heating load based on machine learning: A case study

Building thermal load prediction through shallow machine learning and deep learning

(2020) Zhe Wang et al.   APPLIED ENERGY

Data driven model improved by multi-objective optimisation for prediction of building energy loads

(2020) Saleh Seyedzadeh et al.   AUTOMATION IN CONSTRUCTION

A review of the-state-of-the-art in data-driven approaches for building energy prediction

(2020) Ying Sun et al.   ENERGY AND BUILDINGS

Data fusion in predicting internal heat gains for office buildings through a deep learning approach

(2019) Zhe Wang et al.   APPLIED ENERGY

Vector field-based support vector regression for building energy consumption prediction

(2019) Hai Zhong et al.   APPLIED ENERGY

A comprehensive review on the application of artificial neural networks in building energy analysis

(2019) Saeed Reza Mohandes et al.   NEUROCOMPUTING

Tuning machine learning models for prediction of building energy loads

(2019) Saleh Seyedzadeh et al.   Sustainable Cities and Society

Modeling and forecasting building energy consumption: A review of data-driven techniques

(2019) Mathieu Bourdeau et al.   Sustainable Cities and Society

Day-ahead spatiotemporal solar irradiation forecasting using frequency-based hybrid principal component analysis and neural network

(2019) Hai Lan et al.   APPLIED ENERGY

Effect of input variables on cooling load prediction accuracy of an office building

(2018) Yan Ding et al.   APPLIED THERMAL ENGINEERING

Medium-term heat load prediction for an existing residential building based on a wireless on-off control system

(2018) Jihao Gu et al.   ENERGY

Investigation of annual energy performance of a VWV air source heat pump system

(2018) R.Z. Wang et al.   INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID

Modeling heating and cooling loads by artificial intelligence for energy-efficient building design

(2014) Jui-Sheng Chou et al.   ENERGY AND BUILDINGS

Development and validation of regression models to predict monthly heating demand for residential buildings

(2008) Tiberiu Catalina et al.   ENERGY AND BUILDINGS