My Account | Careers | Downloads | Blog

PROJECT TITLE :

Forecasting Brazil's electricity consumption with Pegels Exponential Smoothing Techniques

ABSTRACT:

After the 2001 energy crises in Brazil, the energy sector priority has been the look and consequently the forecast middle and future energy consumption. The Energy Analysis Company (EPE for short) is in control of publishing 2 official reports: "The Ten Year Energy Planning" and "The National Energy Planning" which contain, among other things, the forecast for extended lead times. In this formulation, these horizons are 2023 and 2050. This paper aims to model and forecast the Brazilian energy consumption aggregated and disaggregated by class of consumption with Pegels Exponential Smoothing technique. Additionally to the forecast with the best model in sample, an optimization procedure of the model hyperparameters is dole out so as to regulate every one among the forecasted values with the figures provided by EPE. The results obtained show that it's possible to predict satisfactorily the electricity consumption up to 2050 for all energy sectors.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid - 2017 ABSTRACT: Electricity value forecasting is a vital part of sensible grid as a result of it makes good grid cost economical.
PROJECT TITLE : Online Multi-Task Learning Framework for Ensemble Forecasting - 2017 ABSTRACT: Ensemble forecasting may be a widely-used numerical prediction technique for modeling the evolution of nonlinear dynamic systems.
PROJECT TITLE : Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting - 2017 ABSTRACT: Spatial event forecasting from social media is potentially extremely useful but suffers from important challenges,
PROJECT TITLE :Forecasting Frequency-Corrected Electricity Demand to Support Frequency ControlABSTRACT:Electricity demand forecasts are needed for choices concerning generation dispatch for lead times as short as simply a jiffy.
PROJECT TITLE :A Novel Wavelet-Based Ensemble Method for Short-Term Load Forecasting with Hybrid Neural Networks and Feature SelectionABSTRACT:During this paper, a brand new ensemble forecasting model for short-term load forecasting

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry