Research on control strategy integrated with characteristics of user's energy-saving behavior of district heating system

A dynamic control strategy of district heating substations based on online prediction and indoor temperature feedback

(2021) Chunhua Sun et al.   ENERGY

A generally applicable, simple and adaptive forecasting method for the short-term heat load of consumers

(2019) Thomas Nigitz et al.   APPLIED ENERGY

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

(2018) Jihao Gu et al.   ENERGY

Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods

(2018) Gowri Suryanarayana et al.   ENERGY

Evaluation of a feedback control method for hydronic heating systems based on indoor temperature measurements

(2018) Mats Dahlblom et al.   ENERGY AND BUILDINGS

The role of thermostatic radiator valves for the control of space heating in UK social-rented households

(2018) Adorkor Bruce-Konuah et al.   ENERGY AND BUILDINGS

Physical environmental and contextual drivers of occupants’ manual space heating override behaviour in UK residential buildings

(2018) Adorkor Bruce-Konuah et al.   ENERGY AND BUILDINGS

User engaging practices for energy saving in buildings: Critical review and new enhanced procedure

(2017) Daniela Pasini et al.   ENERGY AND BUILDINGS

Identifying services for short-term load forecasting using data driven models in a Smart City platform

(2017) Joaquim Massana et al.   Sustainable Cities and Society

The comparison of Holt–Winters method and Multiple regression method: A case study

(2016) Liljana Ferbar Tratar et al.   ENERGY

Applied machine learning: Forecasting heat load in district heating system

(2016) Samuel Idowu et al.   ENERGY AND BUILDINGS

Ensemble of various neural networks for prediction of heating energy consumption

(2015) Radiša Ž. Jovanović et al.   ENERGY AND BUILDINGS

Adaptive predictive control of thermo-active building systems (TABS) based on a multiple regression algorithm

(2015) Martin Schmelas et al.   ENERGY AND BUILDINGS

Linear and Neural Network-based Models for Short-Term Heat Load Forecasting

(2015) Primož Potočnik et al.   STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING

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

Heating patterns in English homes: Comparing results from a national survey against common model assumptions

(2013) Gesche M. Huebner et al.   BUILDING AND ENVIRONMENT

Re-evaluation of building cooling load prediction models for use in humid subtropical area

(2013) Zhengwei Li et al.   ENERGY AND BUILDINGS

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

(2012) İsmail Yabanova et al.   APPLIED THERMAL ENGINEERING

Thermal monitoring and optimization of geothermal district heating systems using artificial neural network: A case study

(2012) Ali Keçebaş et al.   ENERGY AND BUILDINGS

The use of occupancy space electrical power demand in building cooling load prediction

(2012) M.C. Leung et al.   ENERGY AND BUILDINGS

Artificial neural network modeling of geothermal district heating system thought exergy analysis

(2012) Ali Keçebaş et al.   ENERGY CONVERSION AND MANAGEMENT

How people use thermostats in homes: A review

(2011) Therese Peffer et al.   BUILDING AND ENVIRONMENT

Behavioural Patterns and User Profiles related to energy consumption for heating

(2011) Olivia Guerra Santin   ENERGY AND BUILDINGS

Field investigation on consumer behavior and hydraulic performance of a district heating system in Tianjin, China

(2008) Baoping Xu et al.   BUILDING AND ENVIRONMENT