[HTML][HTML] The State of the Art Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market
V Laitsos, G Vontzos, P Paraschoudis, E Tsampasis… - Energies, 2024 - mdpi.com
In a modern and dynamic electricity market, ensuring reliable, sustainable and efficient
electricity distribution is a pillar of primary importance for grid operation. The high …
electricity distribution is a pillar of primary importance for grid operation. The high …
Prediction of power conversion efficiency parameter of inverted organic solar cells using artificial intelligence techniques
M Marzouglal, A Souahlia, L Bessissa, D Mahi… - Scientific Reports, 2024 - nature.com
Organic photovoltaic (OPV) cells are at the forefront of sustainable energy generation due to
their lightness, flexibility, and low production costs. These characteristics make OPVs a …
their lightness, flexibility, and low production costs. These characteristics make OPVs a …
[HTML][HTML] Walking Back the Data Quantity Assumption to Improve Time Series Prediction in Deep Learning
Deep learning techniques have significantly advanced time series prediction by effectively
modeling temporal dependencies, particularly for datasets with numerous observations …
modeling temporal dependencies, particularly for datasets with numerous observations …
Neural Network for Sky Darkness Level Prediction in Rural Areas.
A Martínez-Martín, MÁ Jaramillo-Morán… - Sustainability …, 2024 - search.ebscohost.com
A neural network was developed using the Multilayer Perceptron (MLP) model to predict the
darkness value of the night sky in rural areas. For data collection, a photometer was placed …
darkness value of the night sky in rural areas. For data collection, a photometer was placed …