Big data analytics for short and medium-term electricity load forecasting using an AI techniques ensembler

N Ayub, M Irfan, M Awais, U Ali, T Ali, M Hamdi… - Energies, 2020 - mdpi.com
Electrical load forecasting provides knowledge about future consumption and generation of
electricity. There is a high level of fluctuation behavior between energy generation and …

Enhanced machine-learning techniques for medium-term and short-term electric-load forecasting in smart grids

SUR Khan, IA Hayder, MA Habib, M Ahmad… - Energies, 2022 - mdpi.com
Nowadays, electric load forecasting through a data analytic approach has become one of
the most active and emerging research areas. It provides future consumption patterns of …

[PDF][PDF] Star Galaxy Classification Using Machine Learning Algorithms and Deep Learning

AS Savyanavar, N Mhala, SH Sutar - International Journal on …, 2023 - ijits-bg.com
Cosmology is the study of the universe comprising stars and galaxies. Advancement in the
telescope has made it possible to capture highresolution images, which can be analysed …

Residential Electricity Power Forecasting using GRU-based CNN and SAE Ensembler

A Raza, U Ali, Z Ali, MH Saeed… - … on Emerging Trends …, 2023 - ieeexplore.ieee.org
Smart grids play an important role to resolves issues related to electricity. Electrical load
forecasting can be performed through smart grids to acquire knowledge about the electrical …

Load Predictions in Electrical Energy Network: Current Knowledge and Future Directions Using Machine Learning

BM Ali - 2023 6th International Conference on Engineering …, 2023 - ieeexplore.ieee.org
The accurate prediction of electricity demand is becoming increasingly important in light of
market deregulation and the integration ofrenewable energy sources into the electrical …

[PDF][PDF] ENHANCING ENERGY EFFICIENCY IN A SMART HOME THROUGH WINDOW-BASED SUPPORT VECTOR REGRESSION FOR ENERGY CONSUMPTION …

BSE Zoraida, JJC Magdalene - International Journal on Information …, 2023 - ijits-bg.com
Efficient energy management is greatly facilitated by accurately predicting energy
consumption in a smart home, benefiting both consumers and utilities alike. The …

Performance analysis of demand forecasting in energy consumption based on ensemble model

D Jaganathan, A Natarajan - Bulletin of Electrical Engineering and …, 2022 - beei.org
Over the previous decade, energy usage has increased exponentially all over the world. The
machine learning algorithms are used to classify the demand and requirement of off and …

[PDF][PDF] Big Data Analytics for Short and Medium Term Electricity Load Forecasting using AI Techniques Ensembler

MI Nasir Ayub, M Awais, U Ali, T Ali, M Hamdi… - researchgate.net
Electrical load forecasting provides knowledge about future consumption and generation of
electricity. There is a high level of fluctuating than behavior between energy generation and …