[HTML][HTML] Performance analysis and comparison of various techniques for short-term load forecasting
Rapidly varying load demand is one of the greatest problems that distribution system
operators are now experiencing. Many researchers have been implemented the load …
operators are now experiencing. Many researchers have been implemented the load …
A comparative analysis of hyperparameter tuned stochastic short term load forecasting for power system operator
Intermittency in the grid creates operational issues for power system operators (PSO). One
such intermittent parameter is load. Accurate prediction of the load is the key to proper …
such intermittent parameter is load. Accurate prediction of the load is the key to proper …
Peer-to-peer energy trading in a distribution network considering the impact of short-term load forecasting
Demand forecasting and electricity trading are two major fields of study for power system
operators. These two issues have not been integrated by scholars for analysing …
operators. These two issues have not been integrated by scholars for analysing …
Performance analysis of data resampling on class imbalance and classification techniques on multi-omics data for cancer classification
Y Yang, G Mirzaei - Plos one, 2024 - journals.plos.org
Cancer, in any of its forms, remains a significant public health concern worldwide. Advances
in early detection and treatment could lead to a decline in the overall death rate from cancer …
in early detection and treatment could lead to a decline in the overall death rate from cancer …
Short Term Load Forecasting Using Machine Learning Algorithms: A Case Study in Turkey
In this study, short-term load forecasting of the Gebze region in Turkey was carried out using
Machine Learning-based prediction algorithms such as Artificial Neural Networks, Decision …
Machine Learning-based prediction algorithms such as Artificial Neural Networks, Decision …
Optimal peer-to-peer energy trading model with short-term load forecasting for energy market
Energy trading and demand are key components of the electricity market, with accurate load
forecasting essential for predicting consumption and optimizing costs. This research aims to …
forecasting essential for predicting consumption and optimizing costs. This research aims to …
Hyper-Parameter Tuned Short Term Load Forecasting Using Stochastic Classifier-Regression Mapping For Power System Operator
BVS Vardhan, M Khedkar… - 2022 IEEE PES 14th Asia …, 2022 - ieeexplore.ieee.org
One of the important aspect in operation of power system is management of Intermittent
parameters like load. Short Term Load Forecasting (STLF) is done in this manuscript using …
parameters like load. Short Term Load Forecasting (STLF) is done in this manuscript using …
A Comparative Analysis of Hold Out, Cross and Re-Substitution Validation in Hyper-Parameter Tuned Stochastic Short Term Load Forecasting
BVS Vardhan, M Khedkar… - 2022 22nd National …, 2022 - ieeexplore.ieee.org
Analysis of load plays an important role in the operation of modern power systems due to its
highly intermittent nature. This manuscript proposes the best approach by comparing results …
highly intermittent nature. This manuscript proposes the best approach by comparing results …
A Comparative Analysis of Short Term Load Forecasting Using LSTM, CNN, and Hybrid CNN-LSTM
P Thakre, M Khedkar, BVS Vardhan - International Symposium on …, 2023 - Springer
Short-term load forecasting (STLF) is becoming more significant and useful in the field of
power systems. This manuscript proposes the best approach by comparing the results of …
power systems. This manuscript proposes the best approach by comparing the results of …
IEEE Smart Cities IEEE Smart Cities
Power generation is one of the important pillars of a smart city. There are also other
important factors like power transmission and distribution. Intelligent power management …
important factors like power transmission and distribution. Intelligent power management …