[HTML][HTML] An adaptive backpropagation algorithm for long-term electricity load forecasting
NA Mohammed, A Al-Bazi - Neural Computing and Applications, 2022 - Springer
Abstract Artificial Neural Networks (ANNs) have been widely used to determine future
demand for power in the short, medium, and long terms. However, research has identified …
demand for power in the short, medium, and long terms. However, research has identified …
[HTML][HTML] An ensemble model based on deep learning and data preprocessing for short-term electrical load forecasting
Electricity load forecasting is one of the hot concerns of the current electricity market, and
many forecasting models are proposed to satisfy the market participants' needs. Most of the …
many forecasting models are proposed to satisfy the market participants' needs. Most of the …
Medium and Short Term Energy Forecasting using LSTM Neural Network Method for Gujarat State
A stable power system requires balance between generation and demand. The power
system under World Bank initiative has restructured in majority of countries throughout the …
system under World Bank initiative has restructured in majority of countries throughout the …
Auto-Regressive and Neural Network Models for Weather-Informed Load Forecasts
D Wallison, U Habiba, F Safdarian… - 2023 IEEE Kansas …, 2023 - ieeexplore.ieee.org
In this paper, we propose auto-regressive and neural network models to forecast load
profiles based on weather measurements without a need for manual calibration. The …
profiles based on weather measurements without a need for manual calibration. The …
Data mining/Machine Learning for Smart House in-frastructure
N Tsalikidis - 2023 - repository.ihu.edu.gr
This dissertation was written as a part of the MSc in Data Science at the International
Hellenic University. The recent exponential growth of available data in today's fast-paced …
Hellenic University. The recent exponential growth of available data in today's fast-paced …
Design Optimization Analysis Based On Demand Side Management of a Stand-alone Hybrid Power System Using Genetic Algorithm for Remote Rural Electrification
The utilization of diesel generators to provide power to the load demand on remote rural
areas in Tanzania has extensively spread which results in a shortage of energy facilities …
areas in Tanzania has extensively spread which results in a shortage of energy facilities …
[PDF][PDF] An Ensemble Model based on Deep Learning and Data Pre-processing for Short-Term Electrical Load Forecasting. Sustainability 2021, 13, 1694
Electricity load forecasting is one of the hot concerns of the current electricity market, and
many forecasting models are proposed to satisfy the market participants' needs. Most of the …
many forecasting models are proposed to satisfy the market participants' needs. Most of the …