District heating load forecasting with a hybrid model based on LightGBM and FB-prophet

Corporate finance risk prediction based on LightGBM

(2022) Di-ni Wang et al.   INFORMATION SCIENCES

Multivariate time series prediction by RNN architectures for energy consumption forecasting

(2022) Ibtissam Amalou et al.   Energy Reports

An adaptive backpropagation algorithm for long-term electricity load forecasting

(2021) Nooriya A. Mohammed et al.   NEURAL COMPUTING & APPLICATIONS

Hybrid artificial intelligence model for prediction of heating energy use

(2021) Aleksandra Sretenovic et al.   Thermal Science

Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost

(2020) Chen Wang et al.   PATTERN RECOGNITION LETTERS

COVID-19: A Comparison of Time Series Methods to Forecast Percentage of Active Cases per Population

(2020) Vasilis Papastefanopoulos et al.   Applied Sciences-Basel

Long-Term Forecasting of Electrical Loads in Kuwait Using Prophet and Holt–Winters Models

(2020) Abdulla I. Almazrouee et al.   Applied Sciences-Basel

Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads

(2020) X.J. Luo et al.   Sustainable Cities and Society

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

Estimating the Heating Load of Buildings for Smart City Planning Using a Novel Artificial Intelligence Technique PSO-XGBoost

(2019) Le Thi Le et al.   Applied Sciences-Basel

Clustering and statistical analyses of air-conditioning intensity and use patterns in residential buildings

(2018) Jingjing An et al.   ENERGY AND BUILDINGS

Support vector machine for the prediction of heating energy use

(2018) Aleksandra Sretenovic et al.   Thermal Science

Evaluation of a multiple linear regression model and SARIMA model in forecasting heat demand for district heating system

(2016) Tingting Fang et al.   APPLIED ENERGY

Pattern-based local linear regression models for short-term load forecasting

(2016) Grzegorz Dudek   ELECTRIC POWER SYSTEMS RESEARCH

Development of operational guidelines for thermally activated building system according to heating and cooling load characteristics

(2014) Jae-Han Lim et al.   APPLIED ENERGY

4th Generation District Heating (4GDH)

(2014) Henrik Lund et al.   ENERGY

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

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

Multiple regression model for fast prediction of the heating energy demand

(2012) Tiberiu Catalina et al.   ENERGY AND BUILDINGS

A new “wireless on-off control” technique for adjusting and metering household heat in district heating system

(2011) Lanbin Liu et al.   APPLIED THERMAL ENGINEERING