An overview of energy demand forecasting methods published in 2005–2015
The importance of energy demand management has been more vital in recent decades as
the resources are getting less, emission is getting more and developments in applying …
the resources are getting less, emission is getting more and developments in applying …
Current advances and approaches in wind speed and wind power forecasting for improved renewable energy integration: A review
M Santhosh, C Venkaiah… - Engineering …, 2020 - Wiley Online Library
Wind power is playing a pivotal part in global energy growth as it is clean and pollution‐free.
To maximize profits, economic scheduling, dispatching, and planning the unit commitment …
To maximize profits, economic scheduling, dispatching, and planning the unit commitment …
An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system
K Wu, J Wu, L Feng, B Yang, R Liang… - … on Electrical Energy …, 2021 - Wiley Online Library
In recent years, diverse energy has been integrated into the power system, which constitutes
a regional integrated energy system (IES). However, the coupling and complementation of …
a regional integrated energy system (IES). However, the coupling and complementation of …
Metaverse-driven remote management solution for scene-based energy storage power stations
Y Deng, Z Weng, T Zhang - Evolutionary Intelligence, 2023 - Springer
The Metaverse is a new Internet application and social form that integrates a variety of new
technologies. With the “carbon peak, carbon neutrality” goal and the proposal of a new …
technologies. With the “carbon peak, carbon neutrality” goal and the proposal of a new …
Short-term forecasting of electric loads using nonlinear autoregressive artificial neural networks with exogenous vector inputs
J Buitrago, S Asfour - Energies, 2017 - mdpi.com
Short-term load forecasting is crucial for the operations planning of an electrical grid.
Forecasting the next 24 h of electrical load in a grid allows operators to plan and optimize …
Forecasting the next 24 h of electrical load in a grid allows operators to plan and optimize …
Artificial neural network and SARIMA based models for power load forecasting in Turkish electricity market
ÖÖ Bozkurt, G Biricik, ZC Tayşi - PloS one, 2017 - journals.plos.org
Load information plays an important role in deregulated electricity markets, since it is the
primary factor to make critical decisions on production planning, day-to-day operations, unit …
primary factor to make critical decisions on production planning, day-to-day operations, unit …
Application of bidirectional recurrent neural network combined with deep belief network in short-term load forecasting
X Tang, Y Dai, Q Liu, X Dang, J Xu - IEEE Access, 2019 - ieeexplore.ieee.org
The importance of conducting potential analysis of load data and ensuring the effectiveness
of feature selection cannot be overstated when it comes to enhancing the accuracy of short …
of feature selection cannot be overstated when it comes to enhancing the accuracy of short …
A comparison study of predictive models for electricity demand in a diverse urban environment
The increasing population migration to urban and peri-urban areas increases basic service
needs for cities worldwide. Residential electricity demand increases with more customers …
needs for cities worldwide. Residential electricity demand increases with more customers …
Short‐term load forecast of electrical power system by radial basis function neural network and new stochastic search algorithm
O Abedinia, N Amjady - International transactions on electrical …, 2016 - Wiley Online Library
In this paper a new model of radial basis function (RBF) neural network based on a novel
stochastic search algorithm is presented for short‐term load forecast (STLF). STLF is an …
stochastic search algorithm is presented for short‐term load forecast (STLF). STLF is an …
A novel distributed paradigm for energy scheduling of islanded multiagent microgrids
M Tofighi-Milani, S Fattaheian-Dehkordi… - IEEE …, 2022 - ieeexplore.ieee.org
Restructuring in power systems has resulted in the development of microgrids (MGs) as
entities that could be operated in grid-connected or islanded modes while managing the …
entities that could be operated in grid-connected or islanded modes while managing the …