Computational intelligence on short-term load forecasting: A methodological overview
Electricity demand forecasting has been a real challenge for power system scheduling in
different levels of energy sectors. Various computational intelligence techniques and …
different levels of energy sectors. Various computational intelligence techniques and …
Short-term load forecasting with deep residual networks
We present in this paper a model for forecasting short-term electric load based on deep
residual networks. The proposed model is able to integrate domain knowledge and …
residual networks. The proposed model is able to integrate domain knowledge and …
Sizing a stand-alone solar-wind-hydrogen energy system using weather forecasting and a hybrid search optimization algorithm
W Zhang, A Maleki, MA Rosen, J Liu - Energy conversion and …, 2019 - Elsevier
Due to increasing energy demand and fossil fuel costs in island and remote areas,
renewable energy resources are becoming increasingly attractive. The hybridization of …
renewable energy resources are becoming increasingly attractive. The hybridization of …
Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information
Photovoltaic (PV) solar power generation is always associated with uncertainties due to
solar irradiance and other weather parameters intermittency. This creates a huge barrier in …
solar irradiance and other weather parameters intermittency. This creates a huge barrier in …
Convolutional and recurrent neural network based model for short-term load forecasting
H Eskandari, M Imani, MP Moghaddam - Electric Power Systems Research, 2021 - Elsevier
The consumed electrical load is affected by many external factors such as weather, season
of the year, weekday or weekend and holiday. In this paper, it is tried to provide a high …
of the year, weekday or weekend and holiday. In this paper, it is tried to provide a high …
Two stage forecast engine with feature selection technique and improved meta-heuristic algorithm for electricity load forecasting
Short-term load forecasting is of major interest for the restructured environment of the
electricity market. Accurate load forecasting is essential for effective power system operation …
electricity market. Accurate load forecasting is essential for effective power system operation …
Different states of multi-block based forecast engine for price and load prediction
W Gao, A Darvishan, M Toghani, M Mohammadi… - International Journal of …, 2019 - Elsevier
This work proposes different prediction models based on multi-block forecast engine for load
and price forecast in electricity market. Due to high correlation of load and price signals, the …
and price forecast in electricity market. Due to high correlation of load and price signals, the …
A strategy for short-term load forecasting by support vector regression machines
This paper presents a generic strategy for short-term load forecasting (STLF) based on the
support vector regression machines (SVR). Two important improvements to the SVR based …
support vector regression machines (SVR). Two important improvements to the SVR based …
Convolutional neural networks for energy time series forecasting
I Koprinska, D Wu, Z Wang - 2018 international joint conference …, 2018 - ieeexplore.ieee.org
We investigate the application of convolutional neural networks for energy time series
forecasting. In particular, we consider predicting the photovoltaic solar power and electricity …
forecasting. In particular, we consider predicting the photovoltaic solar power and electricity …
Artificial intelligence and statistical techniques in short-term load forecasting: a review
Electrical utilities depend on short-term demand forecasting to proactively adjust production
and distribution in anticipation of major variations. This systematic review analyzes 240 …
and distribution in anticipation of major variations. This systematic review analyzes 240 …