A holistic review on energy forecasting using big data and deep learning models
J Devaraj, R Madurai Elavarasan… - … journal of energy …, 2021 - Wiley Online Library
With the growth of forecasting models, energy forecasting is used for better planning,
operation, and management in the electric grid. It is important to improve the accuracy of …
operation, and management in the electric grid. It is important to improve the accuracy of …
Applications of random forest in multivariable response surface for short-term load forecasting
GF Fan, LZ Zhang, M Yu, WC Hong, SQ Dong - International Journal of …, 2022 - Elsevier
Accurate load forecasting is helpful for optimizing the use of power resources. To this end,
this investigation proposes a hybrid model for short-term load forecasting, namely the RF …
this investigation proposes a hybrid model for short-term load forecasting, namely the RF …
Smart grid and application of big data: Opportunities and challenges
A Mohanty, AK Ramasamy, R Verayiah, S Bastia… - Sustainable Energy …, 2024 - Elsevier
The rapid technological advancements in the electrical energy sector are generating a
significant volume of data that profoundly influences the operations of system operators, grid …
significant volume of data that profoundly influences the operations of system operators, grid …
Electrical load forecasting based on variable T-distribution and dual attention mechanism
J Wang, L Han, X Zhang, Y Wang, S Zhang - Energy, 2023 - Elsevier
Accurate load forecasting is essential for power system stability and grid dispatch
optimization. However, this task is challenging due to the inherent instability and volatility of …
optimization. However, this task is challenging due to the inherent instability and volatility of …
[HTML][HTML] A multi-stage ensemble model for power load forecasting based on decomposition, error factors, and multi-objective optimization algorithm
C Fan, S Nie, L Xiao, L Yi, Y Wu, G Li - … Journal of Electrical Power & Energy …, 2024 - Elsevier
Short-term power load forecasting plays an important role in ensuring the stable operation of
power systems and improving economic benefits. However, most of the previous studies …
power systems and improving economic benefits. However, most of the previous studies …
Impact of Covid19 on electricity load in Haryana (India)
As it is known that the whole world is battling against the Corona Virus Disease or COVID19
and trying their level best to stop the spread of this pandemic. To avoid the spread, several …
and trying their level best to stop the spread of this pandemic. To avoid the spread, several …
A three level hierarchical architecture for an efficient storage of industry 4.0 data
The increasing interest among manufacturers in monitoring and analyzing industrial systems
is generating a problem related to the considerable costs associated with the storage of the …
is generating a problem related to the considerable costs associated with the storage of the …
Role of big data analytics in power system Application
RV Angadi, PS Venkataramu… - E3S Web of …, 2020 - e3s-conferences.org
Power system sector is the back bone for any country economic growth. In current years,
electric power systems have experienced various challenges and technological innovations …
electric power systems have experienced various challenges and technological innovations …
Random forest and Xgboost technique for short-term load forecasting
U Singh, S Vadhera - … for Power and Energy Systems (STPES), 2022 - ieeexplore.ieee.org
In power system, load forecasting for short-term is a step forward in the course of making a
completely reliable grid. With the advent of smart grid and its technologies, the use of load …
completely reliable grid. With the advent of smart grid and its technologies, the use of load …
Big data and artificial intelligence for e-health
Artificialintelligence (AI) and big data are active research topics in e-health. Big data in
medicine comprises massive data that includes image data, metadata, and rich …
medicine comprises massive data that includes image data, metadata, and rich …