A three-step machine learning framework for energy profiling, activity state prediction and production estimation in smart process manufacturing

Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest

(2020) Jianchao Cai et al.   APPLIED ENERGY

Building thermal load prediction through shallow machine learning and deep learning

(2020) Zhe Wang et al.   APPLIED ENERGY

Non-intrusive load disaggregation solutions for very low-rate smart meter data

(2020) Bochao Zhao et al.   APPLIED ENERGY

Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning

(2020) Jie Li et al.   APPLIED ENERGY

A generic energy prediction model of machine tools using deep learning algorithms

(2020) Yan He et al.   APPLIED ENERGY

Deep neural network model with Bayesian hyperparameter optimization for prediction of NOx at transient conditions in a diesel engine

(2020) Seunghyup Shin et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

(2019) Zhe Wang et al.   APPLIED ENERGY

Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model

(2019) Jinhua Zhang et al.   APPLIED ENERGY

GMM clustering for heating load patterns in-depth identification and prediction model accuracy improvement of district heating system

(2019) Yakai Lu et al.   ENERGY AND BUILDINGS

The development of modelling tools to improve energy efficiency in manufacturing processes and systems

(2019) Victoria Jayne Mawson et al.   JOURNAL OF MANUFACTURING SYSTEMS

Energy-cyber-physical system enabled management for energy-intensive manufacturing industries

(2019) Shuaiyin Ma et al.   JOURNAL OF CLEANER PRODUCTION

Energy efficiency in discrete-manufacturing systems: Insights, trends, and control strategies

(2019) Jenny L. Diaz C. et al.   JOURNAL OF MANUFACTURING SYSTEMS

Resources value mapping: A method to assess the resource efficiency of manufacturing systems

(2019) Alessandra Papetti et al.   APPLIED ENERGY

Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

(2019) Junliang Fan et al.   AGRICULTURAL WATER MANAGEMENT

A steel property optimization model based on the XGBoost algorithm and improved PSO

(2019) Kai Song et al.   COMPUTATIONAL MATERIALS SCIENCE

Ultra-short term wind prediction with wavelet transform, deep belief network and ensemble learning

(2019) He Jiajun et al.   ENERGY CONVERSION AND MANAGEMENT

Clustering-based analysis for residential district heating data

(2018) Panagiota Gianniou et al.   ENERGY CONVERSION AND MANAGEMENT

Big Data enabled Intelligent Immune System for energy efficient manufacturing management

(2018) S. Wang et al.   JOURNAL OF CLEANER PRODUCTION

Data-driven smart manufacturing

(2018) Fei Tao et al.   JOURNAL OF MANUFACTURING SYSTEMS

The role of decision tree representation in regression problems – An evolutionary perspective

(2016) Marcin Czajkowski et al.   APPLIED SOFT COMPUTING

What to Do When K-Means Clustering Fails: A Simple yet Principled Alternative Algorithm

(2016) Yordan P. Raykov et al.   PLoS One

An energy estimation framework for event-based methods in Non-Intrusive Load Monitoring

(2015) Suman Giri et al.   ENERGY CONVERSION AND MANAGEMENT

Energy oriented simulation of manufacturing systems – Concept and application

(2011) C. Herrmann et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY