4.7 Article

Benefits of thermal load forecasts in balancing load fluctuations through thermal storage

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Thermodynamics

Research on thermal load prediction of district heating station based on transfer learning

Chendong Wang et al.

Summary: This study proposes layer transfer model and merged transfer model for thermal load prediction of district heating station. The experiments show that these two models can maintain high prediction accuracy in cross-year and cross-site scenarios, and the prediction performance can be significantly improved when using the merged transfer model with insufficient training data.

ENERGY (2022)

Review Energy & Fuels

A review of machine learning in building load prediction

Liang Zhang et al.

Summary: This paper reviews the application of machine learning techniques in building load prediction, covering tasks T, performance P, and experience E aspects. It discusses the modeling algorithms that improve performance, as well as data engineering for modeling, and concludes with identified gaps and future trends in machine learning application for building energy systems.

APPLIED ENERGY (2021)

Article Energy & Fuels

A comprehensive thermal load forecasting analysis based on machine learning algorithms

Stefan Leiprecht et al.

Summary: This paper presents the scientific methodology and initial results of the deepDHC research project, which aims to evaluate the performance of traditional and advanced machine learning methods in thermal load forecasting in district heating and cooling systems. The study is based on data from the district heating network in the city of Ulm, Germany, and covers various performance metrics, data screening methods, and machine learning tuning processes.

ENERGY REPORTS (2021)

Article Green & Sustainable Science & Technology

High-efficiency cogeneration systems for the food industry

Michela Vellini et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Review Energy & Fuels

Thermal energy storage in district heating and cooling systems: A review

Elisa Guelpa et al.

APPLIED ENERGY (2019)

Proceedings Paper Energy & Fuels

Flexibility in thermal grids: a review of short-term storage in district heating distribution networks

Jay Hennessy et al.

INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS (2019)

Article Construction & Building Technology

Operational thermal load forecasting in district heating networks using machine learning and expert advice

Davy Geysen et al.

ENERGY AND BUILDINGS (2018)

Review Green & Sustainable Science & Technology

Feature selection in machine learning prediction systems for renewable energy applications

S. Salcedo-Sanz et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

Article Environmental Sciences

Environmental analysis of a potential district heating network powered by a large-scale cogeneration plant

Marco Ravina et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2017)

Article Automation & Control Systems

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

Francesca Verrilli et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2017)

Review Green & Sustainable Science & Technology

Review of district heating and cooling systems for a sustainable future

Andrew Lake et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)

Article Thermodynamics

Implementation of a cogeneration plant for a food processing facility. A case study

Vincenzo Bianco et al.

APPLIED THERMAL ENGINEERING (2016)

Article Computer Science, Interdisciplinary Applications

Power scheduling and real-time optimization of industrial cogeneration plants

Rahul Bindlish

COMPUTERS & CHEMICAL ENGINEERING (2016)

Article Construction & Building Technology

A comparison of approaches to stepwise regression on variables sensitivities in building simulation and analysis

Mengchao Wang et al.

ENERGY AND BUILDINGS (2016)

Article Construction & Building Technology

Applied machine learning: Forecasting heat load in district heating system

Samuel Idowu et al.

ENERGY AND BUILDINGS (2016)

Review Green & Sustainable Science & Technology

District heating and cogeneration in the EU-28: Current situation, potential and proposed energy strategy for its generalisation

Antonio Colmenar-Santos et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)

Article Thermodynamics

Day-ahead load forecast using random forest and expert input selection

A. Lahouar et al.

ENERGY CONVERSION AND MANAGEMENT (2015)

Article Economics

Combined heat and power in Dutch greenhouses: A case study of technology diffusion

Reinier A. C. van der Veen et al.

ENERGY POLICY (2015)

Article Multidisciplinary Sciences

Equitability, mutual information, and the maximal information coefficient

Justin B. Kinney et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)

Review Energy & Fuels

Direct utilization of geothermal energy 2010 worldwide review

John W. Lund et al.

GEOTHERMICS (2011)

Review Green & Sustainable Science & Technology

The impact of thermal storage on the operational behaviour of residential CHP facilities and the overall CO2 emissions

Dries Haeseldonckx et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2007)

Review Green & Sustainable Science & Technology

Residential cogeneration systems: review of the current technology

H. I. Onovwiona et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2006)

Article Thermodynamics

Efficiency analysis of a cogeneration and district energy system

MA Rosen et al.

APPLIED THERMAL ENGINEERING (2005)