Bottom up models such as MARKAL and LEAP are also being used at the national and regional level for energy demand management.L. Suganthi and Anand A. SamuelRenewable and Sustainable Energy ReviewsSuganthi L,Samuel A A. Energy Models for Demand Forecasting: A Review[J]. Renewable and ...
During the last decade several new techniques are being used for energy demand management to accurately predict the future energy needs. In this paper an attempt is made to review the various energy demand forecasting models. Traditional methods such as time series, regression, econometric, ARIMA ...
Suganthi, L., Samuel, A.A.: Energy models for demand forecasting—a review. Renew. Sustain. Energy Rev. 16(2), 1223–1240 (2012) Article Google Scholar Abu-El-Magd, M.A., Sinha, N.K.: Short-term load demand modeling and forecasting: a review. Syst. Man Cybern. IEEE Trans. 12...
Price-driven energy management (EM) systems and demand response (DR) programs are reviewed in this paper, considering different types of electricity prices
Accurately forecasting spikes in demand for products and services can give a company a competitive advantage. The better the forecasting, the more they can scale as demand increases, and the less they risk holding onto unneeded inventory. Use cases inclu
Energy demand forecasting in smart buildings Energy demand forecasting has become a relevant subject in the energy management field.Different techniques are being currently applied to forecast the energy demand for differenttime horizons and for diverse types of loads. Some of them... lvaro Picatoste ...
Literature review Research on energy demand in China is abundant. Generally, the existing studies can be divided into three categories: first, forecasting energy demand in China; second, exploring major factors that influence energy demand in China; third, examining the impacts of energy demand on ...
This study confronts domestic and global views on inflation through the use of the Hybrid New Keynesian Phillips Curve (HNKPC) models estimated for headlin... T Lyziak - 《International Journal of Forecasting》 被引量: 0发表: 2019年 Long-term forecasts of peak power demand for planning the ...
The existing transportation energy modeling tools rely on either data-driven, mainly regression analysis of aggregate or disaggregate data derived from land use and travel demand patterns in the city through both top-down and bottom-up methods, or simulation based models. A broad range of data inp...
The model was evaluated using real weather and building energy consumption data from commercial buildings at a science park. 2. Related work Forecasting the peak electricity demand has been studied extensively. The studied approaches for forecasting models include semi-parametric regression [9], [10]...