An overview of energy demand forecasting methods published in 2005–2015
The importance of energy demand management has been more vital in recent decades as
the resources are getting less, emission is getting more and developments in applying …
the resources are getting less, emission is getting more and developments in applying …
Optimisation of energy management in commercial buildings with weather forecasting inputs: A review
Abstract Information about the patterns that govern the energy demand and onsite
generation can generate significant savings in the range of 15–30% in most cases and thus …
generation can generate significant savings in the range of 15–30% in most cases and thus …
Evaluation of a multiple linear regression model and SARIMA model in forecasting heat demand for district heating system
T Fang, R Lahdelma - Applied energy, 2016 - Elsevier
Forecasting heat demand is necessary for production and operation planning of district
heating (DH) systems. In this study we first propose a simple regression model where the …
heating (DH) systems. In this study we first propose a simple regression model where the …
A study on energy performance of 30 commercial office buildings in Hong Kong
A study of energy performance of 30 existing commercial office buildings in Hong Kong has
been carried out. Energy audits have been conducted and the data obtained from utility bills …
been carried out. Energy audits have been conducted and the data obtained from utility bills …
Modeling and forecasting energy consumption for heterogeneous buildings using a physical–statistical approach
X Lü, T Lu, CJ Kibert, M Viljanen - Applied Energy, 2015 - Elsevier
Energy consumption forecasting is a critical and necessary input to planning and controlling
energy usage in the building sector which accounts for 40% of the world's energy use and …
energy usage in the building sector which accounts for 40% of the world's energy use and …
Electric energy consumption predictions for residential buildings: Impact of data-driven model and temporal resolution on prediction accuracy
This study aims to investigate the measurement parameters for predicting the electric energy
consumption of residential buildings using a data-driven model. Herein, the temporal …
consumption of residential buildings using a data-driven model. Herein, the temporal …
[HTML][HTML] Weather and climate data for energy applications
A Amin, M Mourshed - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
Weather information plays a critical role in energy applications—from designing and
planning to the management and maintenance of building energy systems, renewable …
planning to the management and maintenance of building energy systems, renewable …
The critical role of humidity in modeling summer electricity demand across the United States
Cooling demand is projected to increase under climate change. However, most of the
existing projections are based on rising air temperatures alone, ignoring that rising …
existing projections are based on rising air temperatures alone, ignoring that rising …
Development of a model predictive control framework through real-time building energy management system data
Y Kwak, JH Huh, C Jang - Applied Energy, 2015 - Elsevier
Over the past several years, studies have been conducted on the model predictive control
(MPC), which has analyzed the amount of savings through model-based predictive control …
(MPC), which has analyzed the amount of savings through model-based predictive control …
[HTML][HTML] Energy modeling of pig houses: A South Korean feasibility study
South Korea has potential in developing large-scale pig-farming practices. However, poorly
designed facilities and ventilation structures lead to production losses and energy …
designed facilities and ventilation structures lead to production losses and energy …