Forecasting methods in energy planning models
KB Debnath, M Mourshed - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
Regression analysis for prediction of residential energy consumption
N Fumo, MAR Biswas - Renewable and sustainable energy reviews, 2015 - Elsevier
The considerable amount of energy consumption associated to the residential sector
justifies and supports energy consumption modeling efforts. Among the three approaches to …
justifies and supports energy consumption modeling efforts. Among the three approaches to …
Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey
ME Günay - Energy Policy, 2016 - Elsevier
In this work, the annual gross electricity demand of Turkey was modeled by multiple linear
regression and artificial neural networks as a function population, gross domestic product …
regression and artificial neural networks as a function population, gross domestic product …
Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting
Y Yang, Y Chen, Y Wang, C Li, L Li - Applied Soft Computing, 2016 - Elsevier
Electricity demand forecasting, as a vital tool in the electricity market, plays a critical role in
power utilities, which can not only reduce production costs but also save energy resources …
power utilities, which can not only reduce production costs but also save energy resources …
Development of benchmark models for the Egyptian residential buildings sector
The aim of this study is to develop representative simulation building energy data sets and
benchmark models for the Egyptian residential sector. This study reports the results of a …
benchmark models for the Egyptian residential sector. This study reports the results of a …
Energy consumption forecasting for the digital-twin model of the building
The aim of the paper is to propose a new approach to forecast the energy consumption for
the next day using the unique data obtained from a digital twin model of a building. In the …
the next day using the unique data obtained from a digital twin model of a building. In the …
[PDF][PDF] Forecasting energy consumption of Turkey by Arima model
S Ozturk, F Ozturk - Journal of Asian Scientific Research, 2018 - researchgate.net
Energy is one of the important factors affecting the development of modern human life
nowadays. Population growth, rising living standards, urbanization, technological …
nowadays. Population growth, rising living standards, urbanization, technological …
Detecting urban-scale dynamics of electricity consumption at Chinese cities using time-series DMSP-OLS (Defense Meteorological Satellite Program-Operational …
A better understanding of the spatiotemporal pattern of energy consumption at the urban
scale is significant in the interactions between economic activities and environment. This …
scale is significant in the interactions between economic activities and environment. This …
Analysis and forecasting of nonresidential electricity consumption in Romania
Electricity consumption forecast has fundamental importance in the energy planning of a
country. In this paper, we present an analysis and two forecast models for nonresidential …
country. In this paper, we present an analysis and two forecast models for nonresidential …
Forecasting of Turkey's monthly electricity demand by seasonal artificial neural network
Electricity is one of the most important end-user energy types in today's world and has an
effective role in development of societies and economies. Stability of electricity supply is …
effective role in development of societies and economies. Stability of electricity supply is …