A systematic review of hybrid renewable energy systems with hydrogen storage: Sizing, optimization, and energy management strategy
Renewable energy systems (RESs) have played a vital role in meeting the continuously fast-
rising energy demand. While RESs provide limitless and ecologically good possibilities …
rising energy demand. While RESs provide limitless and ecologically good possibilities …
A comprehensive review of the load forecasting techniques using single and hybrid predictive models
A Al Mamun, M Sohel, N Mohammad… - IEEE …, 2020 - ieeexplore.ieee.org
Load forecasting is a pivotal part of the power utility companies. To provide load-shedding
free and uninterrupted power to the consumer, decision-makers in the utility sector must …
free and uninterrupted power to the consumer, decision-makers in the utility sector must …
A review on time series forecasting techniques for building energy consumption
Energy consumption forecasting for buildings has immense value in energy efficiency and
sustainability research. Accurate energy forecasting models have numerous implications in …
sustainability research. Accurate energy forecasting models have numerous implications in …
Forecasting methods in energy planning models
KB Debnath, M Mourshed - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm
Z Zhang, WC Hong - Nonlinear dynamics, 2019 - Springer
Accurate electric load forecasting can provide critical support to makers of energy policy and
managers of power systems. The support vector regression (SVR) model can be hybridized …
managers of power systems. The support vector regression (SVR) model can be hybridized …
Back propagation neural network with adaptive differential evolution algorithm for time series forecasting
L Wang, Y Zeng, T Chen - Expert Systems with Applications, 2015 - Elsevier
The back propagation neural network (BPNN) can easily fall into the local minimum point in
time series forecasting. A hybrid approach that combines the adaptive differential evolution …
time series forecasting. A hybrid approach that combines the adaptive differential evolution …
Forecasting China's electricity consumption using a new grey prediction model
A modified grey prediction model is employed to accurately forecast China's overall and
industrial electricity consumption. To this end, a novel optimized grey prediction model …
industrial electricity consumption. To this end, a novel optimized grey prediction model …
A review of deep learning methods applied on load forecasting
A Almalaq, G Edwards - 2017 16th IEEE international …, 2017 - ieeexplore.ieee.org
The utility industry has invested widely in smart grid (SG) over the past decade. They
considered it the future electrical grid while the information and electricity are delivered in …
considered it the future electrical grid while the information and electricity are delivered in …
[HTML][HTML] Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research …
Energy management systems are designed to monitor, optimize, and control the smart grid
energy market. Demand-side management, considered as an essential part of the energy …
energy market. Demand-side management, considered as an essential part of the energy …
A review on prognostic techniques for non-stationary and non-linear rotating systems
MS Kan, ACC Tan, J Mathew - Mechanical Systems and Signal Processing, 2015 - Elsevier
The field of prognostics has attracted significant interest from the research community in
recent times. Prognostics enables the prediction of failures in machines resulting in benefits …
recent times. Prognostics enables the prediction of failures in machines resulting in benefits …