Predicting hourly heating load in a district heating system based on a hybrid CNN-LSTM model

Building thermal load prediction through shallow machine learning and deep learning

(2020) Zhe Wang et al.   APPLIED ENERGY

Development of the heating load prediction model for the residential building of district heating based on model calibration

(2020) Qiang Zhang et al.   ENERGY

Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting

(2019) Yong Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Indoor thermal environment optimal control for thermal comfort and energy saving based on online monitoring of thermal sensation

(2019) Wei Li et al.   ENERGY AND BUILDINGS

A study of thermal comfort enhancement using three energy-efficient personalized heating strategies at two low indoor temperatures

(2018) Udayraj et al.   BUILDING AND ENVIRONMENT

Wind Speed Prediction with Spatio–Temporal Correlation: A Deep Learning Approach

(2018) Qiaomu Zhu et al.   Energies

Improving Short-Term Heat Load Forecasts with Calendar and Holiday Data

(2018) Magnus Dahl et al.   Energies

A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review

(2018) Tanveer Ahmad et al.   ENERGY AND BUILDINGS

Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches

(2018) Tanveer Ahmad et al.   ENERGY AND BUILDINGS

Investigation of temperature regulation effects on indoor thermal comfort, air quality and energy savings towards green residential buildings

(2018) Shi-Jie Cao et al.   Science and Technology for the Built Environment

Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

(2017) Huiting Zheng et al.   Energies

Building Energy Consumption Prediction: An Extreme Deep Learning Approach

(2017) Chengdong Li et al.   Energies

Model Predictive Control-Based Optimal Operations of District Heating System With Thermal Energy Storage and Flexible Loads

(2017) Francesca Verrilli et al.   IEEE Transactions on Automation Science and Engineering

A smart home energy management system using IoT and big data analytics approach

(2017) A.R. Al-Ali et al.   IEEE TRANSACTIONS ON CONSUMER ELECTRONICS

Big Data Analytics for System Stability Evaluation Strategy in the Energy Internet

(2017) Kun Wang et al.   IEEE Transactions on Industrial Informatics

Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout

(2017) Luca Oneto et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Game-Theoretical Energy Management for Energy Internet With Big Data-Based Renewable Power Forecasting

(2017) Zhenyu Zhou et al.   IEEE Access

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

Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm

(2016) Eiman Tamah Al-Shammari et al.   ENERGY

Transfer learning for short-term wind speed prediction with deep neural networks

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

Heat load prediction of small district heating system using artificial neural networks

(2016) Milos Simonovic et al.   Thermal Science

Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm

(2015) Milan Protić et al.   ENERGY

Appraisal of soft computing methods for short term consumers' heat load prediction in district heating systems

(2015) Milan Protić et al.   ENERGY

Statistical analysis of energy consumption patterns on the heat demand of buildings in district heating systems

(2014) Zhanyu Ma et al.   ENERGY AND BUILDINGS

Daily heat load variations in Swedish district heating systems

(2013) Henrik Gadd et al.   APPLIED ENERGY

Development of ANN model for geothermal district heating system and a novel PID-based control strategy

(2012) İsmail Yabanova et al.   APPLIED THERMAL ENGINEERING

Optimization of district heating systems based on the demand forecast in the capital region

(2010) Tae Chang Park et al.   KOREAN JOURNAL OF CHEMICAL ENGINEERING

Heat consumption forecasting using partial least squares, artificial neural network and support vector regression techniques in district heating systems

(2010) Tae Chang Park et al.   KOREAN JOURNAL OF CHEMICAL ENGINEERING