Prediction of home energy consumption based on gradient boosting regression tree

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks

(2018) Aowabin Rahman et al.   APPLIED ENERGY

A simulation and control model for building energy management

(2018) Maria Pia Fanti et al.   CONTROL ENGINEERING PRACTICE

Gradient boosting machine for modeling the energy consumption of commercial buildings

(2018) Samir Touzani et al.   ENERGY AND BUILDINGS

Assessment of deep recurrent neural network-based strategies for short-term building energy predictions

(2018) Cheng Fan et al.   APPLIED ENERGY

A relevant data selection method for energy consumption prediction of low energy building based on support vector machine

(2017) Subodh Paudel et al.   ENERGY AND BUILDINGS

Prioritizing Influential Factors for Freeway Incident Clearance Time Prediction Using the Gradient Boosting Decision Trees Method

(2017) Xiaolei Ma et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network

(2017) Weicong Kong et al.   IEEE Transactions on Smart Grid

Predicting Short-Term Subway Ridership and Prioritizing Its Influential Factors Using Gradient Boosting Decision Trees

(2016) Chuan Ding et al.   Sustainability

Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS

(2015) Rodrigo N. Calheiros et al.   IEEE Transactions on Cloud Computing

Prediction of Outcome in Acute Lower Gastrointestinal Bleeding Using Gradient Boosting

(2015) Lakshmana Ayaru et al.   PLoS One

Heating and cooling building energy demand evaluation; a simplified model and a modified degree days approach

(2014) Mattia De Rosa et al.   APPLIED ENERGY

A Gradient Boosting Algorithm for Survival Analysis via Direct Optimization of Concordance Index

(2013) Yifei Chen et al.   Computational and Mathematical Methods in Medicine

Modeling and optimization of HVAC systems using a dynamic neural network

(2012) Andrew Kusiak et al.   ENERGY

Predicting future hourly residential electrical consumption: A machine learning case study

(2012) Richard E. Edwards et al.   ENERGY AND BUILDINGS

Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods

(2010) Hui Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Short-term load forecasting using lifting scheme and ARIMA models

(2010) Cheng-Ming Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of transfers to tertiary care and hospital mortality: A gradient boosting decision tree approach

(2010) Jianjun Xie et al.   Statistical Analysis and Data Mining

Energy performance of building envelopes in different climate zones in China

(2008) Liu Yang et al.   APPLIED ENERGY