An overview of energy demand forecasting methods published in 2005–2015

I Ghalehkhondabi, E Ardjmand, GR Weckman… - Energy Systems, 2017 - Springer
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 …

Natural gas demand prediction: Methods, time horizons, geographical scopes, sustainability issues, and scenarios

R Hafezi, M Alipour, DA Wood… - Sustainable natural gas …, 2022 - Elsevier
Research studies published over the past decade provide insight to the methods and focus
of long-terms natural gas predictions recently proposed and adopted. A search-engine …

Dynamic neural network for business and market analysis

J de Arquer Rilo, A Hussain, M Al-Taei, T Baker… - … Computing Theories and …, 2019 - Springer
The problem of predicting nonlinear and nonstationary signals is complex since the physical
law that controls them is unknown and it is complicated to be considered. In these cases, it is …

Towards a novel sensorless dual axis solar tracking algorithm for Bangladeshi PV modules

A Ahmed, MI Rony - 2014 17th International Conference on …, 2014 - ieeexplore.ieee.org
There have been different types of solar trackers employing different algorithms and
techniques. Nevertheless most of them adopt the use of different types of solar radiation …

Natural gas demand prediction: Methods, time horizons, geographical scopes, sustainability issues, and scenarios

R Hafezia, M Alipourb, DA Woodd… - … Gas Reservoir and …, 2021 - books.google.com
Natural gas demand prediction: Methods, time horizons, geographical scopes, sustainability
issues, and scenarios Page 46 CHAPTER TWO Natural gas demand prediction: Methods, time …

A sustainable energy model focusing renewable energy: A case study for poultry farms in Bangladesh

MS Islam, A Islam, MZ Islam… - 2014 3rd International …, 2014 - ieeexplore.ieee.org
According to “Bangladesh Economic Rivew-2013”, the number of registered poultry farms in
Bangladesh till February, 2013 is about 65902. This is believed to be more than two …

[引用][C] 城市年用气量的预测方法

梁金凤, 郭开华, 皇甫立霞 - 城市燃气, 2015

[引用][C] Pakistan's Natural Gas forecast and management using TIMES

A Hafeez-ur-Rehman, BH Mushtaq, CS Atif, DDM Bilal