An ensemble neural network model for predicting the energy utility in individual houses

S Kumaraswamy, K Subathra, S Geeitha… - Computers and …, 2024 - Elsevier
With the rapid increase in the world's human population and the advancement of
technology, energy utilization has substantially increased. To sustain a stable stream of …

Forecasting household energy consumption based on lifestyle data using hybrid machine learning

seidu agbor abdul rauf, AF Adekoya - Journal of Electrical Systems and …, 2023 - Springer
Household lifestyle play a significant role in appliance consumption. The overall effects are
that, it can be a determining factor in the healthy functioning of the household appliance or …

Estimating electricity consumption at city-level through advanced machine learning methods

A Gellert, LM Olaru, A Florea, II Cofaru, U Fiore… - Connection …, 2024 - Taylor & Francis
An effective energy management system relies on the accurate prediction of electricity
consumption, facilitating energy suppliers to optimise energy distribution, reduce energy …

Solar and Wind Data Recognition: Fourier Regression for Robust Recovery

AF Al-Aboosi, AJ Muñoz Vazquez… - Big Data and Cognitive …, 2024 - mdpi.com
Accurate prediction of renewable energy output is essential for integrating sustainable
energy sources into the grid, facilitating a transition towards a more resilient energy …

[HTML][HTML] Strategies for predictive power: Machine learning models in city-scale load forecasting

O Nooruldeen, MR Baker, AM Aleesa… - e-Prime-Advances in …, 2023 - Elsevier
This study focuses on enhancing machine learning (ML) algorithms' performance in
predicting daily loads for Kirkuk, Iraq—an essential element in energy planning, resource …

Short-term electricity consumption forecasting for a steel enterprise

A Morgoeva, R Turluev… - 2023 International …, 2023 - ieeexplore.ieee.org
Forecasting of power consumption is one of the ways to improve the validity of managerial
decisions in the process of planning costs for electrical energy. The functioning of wholesale …

A Method of Optimizing Cell Voltage Based on STA-LSSVM Model

C Xu, Z Tu, W Zhang, J Cen, J Xiong, N Wang - Mathematics, 2022 - mdpi.com
It is challenging to control and optimize the aluminum electrolysis process due to its non-
linearity and high energy consumption. Reducing the cell voltage is crucial for energy …

CONV1D-GRU: A Hybrid Model for Short-Term Electrical Load Forecasting

KS Farid, AA Ali, SA Salem… - … Conference (ITC-Egypt), 2023 - ieeexplore.ieee.org
With the development of plans to replace conventional meters with smart meters to enhance
the functionality and performance of power system, forecasting power consumption is still a …

A Single-Buyer Model of Imbalance Cost Pass-Through Pricing Forecasting in the Malaysian Electricity Supply Industry

FK Khairuddin, FA Zaini, MF Sulaima, NH Shamsudin… - Electricity, 2024 - mdpi.com
The imbalance cost pass-through (ICPT) is a flexible component of the incentive-based
regulation (IBR) that empowers power producers to adjust tariffs in response to variable fuel …

Energy Contour Forecasting Optimization with Smart Metering in Distribution Power Networks

CD Dumitru, A Gligor, I Vlasa, A Simo, S Dzitac - Sensors, 2023 - mdpi.com
Smart metering systems development and implementation in power distribution networks
can be seen as an important factor that led to a major technological upgrade and one of the …