Load forecasting techniques for power system: Research challenges and survey
The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …
think tank of power sectors should forecast the future need of electricity with large accuracy …
[HTML][HTML] Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
While the field of electricity price forecasting has benefited from plenty of contributions in the
last two decades, it arguably lacks a rigorous approach to evaluating new predictive …
last two decades, it arguably lacks a rigorous approach to evaluating new predictive …
Model identification of proton-exchange membrane fuel cells based on a hybrid convolutional neural network and extreme learning machine optimized by improved …
E Han, N Ghadimi - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
In this research, a new optimized deep learning-based methodology is proposed for optimal
and efficient modeling of the Proton-exchange membrane fuel cells. Here, a hybrid method …
and efficient modeling of the Proton-exchange membrane fuel cells. Here, a hybrid method …
Model parameters identification of the PEMFCs using an improved design of Crow Search Algorithm
F Duan, F Song, S Chen, M Khayatnezhad… - International Journal of …, 2022 - Elsevier
There is an increasing trend for fuel cell systems applications in electricity generation
systems instead of traditional power generation systems because of their advantages such …
systems instead of traditional power generation systems because of their advantages such …
Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm
It is hard to predict wind power with high-precision due to its non-stationary and stochastic
nature. The wind power has developed rapidly around the world as a promising renewable …
nature. The wind power has developed rapidly around the world as a promising renewable …
Optimal modeling of combined cooling, heating, and power systems using developed African Vulture Optimization: a case study in watersport complex
L Chen, H Huang, P Tang, D Yao, H Yang… - Energy Sources, Part …, 2022 - Taylor & Francis
The present study proposes an optimal design of combined cooling, heating, and power
systems (CCHP) for a watersport complex. The main purpose is to reduce the energy losses …
systems (CCHP) for a watersport complex. The main purpose is to reduce the energy losses …
A comprehensive review of the load forecasting techniques using single and hybrid predictive models
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 …
Skin cancer diagnosis based on optimized convolutional neural network
N Zhang, YX Cai, YY Wang, YT Tian, XL Wang… - Artificial intelligence in …, 2020 - Elsevier
Early detection of skin cancer is very important and can prevent some skin cancers, such as
focal cell carcinoma and melanoma. Although there are several reasons that have bad …
focal cell carcinoma and melanoma. Although there are several reasons that have bad …
Improving time series forecasting using LSTM and attention models
Accurate time series forecasting has been recognized as an essential task in many
application domains. Real-world time series data often consist of non-linear patterns with …
application domains. Real-world time series data often consist of non-linear patterns with …
Short-term load forecasting models: A review of challenges, progress, and the road ahead
Short-term load forecasting (STLF) is critical for the energy industry. Accurate predictions of
future electricity demand are necessary to ensure power systems' reliable and efficient …
future electricity demand are necessary to ensure power systems' reliable and efficient …