Simultaneous forecasting of wind speed for multiple stations based on attribute-augmented spatiotemporal graph convolutional network and tree-structured parzen …

C Zhang, X Qiao, Z Zhang, Y Wang, Y Fu, MS Nazir… - Energy, 2024 - Elsevier
The global increase in energy demand and environmental concerns have made the
development of wind energy increasingly important. Accurate wind speed prediction is …

Forecasting electricity production from various energy sources in Türkiye: A predictive analysis of time series, deep learning, and hybrid models

E Gulay, M Sen, OB Akgun - Energy, 2024 - Elsevier
When it comes to energy sources used in electricity production, the future forecasting of
electricity production from renewable energy sources is highly important for both the success …

An evolutionary deep learning model based on EWKM, random forest algorithm, SSA and BiLSTM for building energy consumption prediction

L Lei, S Shao, L Liang - Energy, 2024 - Elsevier
Accurate prediction of building energy consumption is crucial to the rational scheme of
building energy. Combining the entropy-weighted K-means (EWKM) with the random forest …

An improved SSA-BiLSTM-based short-term irradiance prediction model via sky images feature extraction

Q Xie, L Ma, Y Liu, Q Fu, Z Shen, X Wang - Renewable Energy, 2023 - Elsevier
The development and utilization of solar energy has become an important strategic decision
for the sustainable development of many countries. Short-term variations in solar irradiation …

Improving ultra-short-term photovoltaic power forecasting using a novel sky-image-based framework considering spatial-temporal feature interaction

H Zang, D Chen, J Liu, L Cheng, G Sun, Z Wei - Energy, 2024 - Elsevier
Accurate photovoltaic (PV) power forecasting is crucial to ensure the safety and stability of
power systems, given the penetration of solar energy. Extracting spatial-temporal features …

A coupled model to improve river water quality prediction towards addressing non-stationarity and data limitation

S Chen, J Huang, P Wang, X Tang, Z Zhang - Water Research, 2024 - Elsevier
Accurate predictions of river water quality are vital for sustainable water management.
However, even the powerful deep learning model, ie, long short-term memory (LSTM), has …

Research and application of a novel selective stacking ensemble model based on error compensation and parameter optimization for AQI prediction

T Peng, J Xiong, K Sun, S Qian, Z Tao, MS Nazir… - Environmental …, 2024 - Elsevier
With the ongoing process of industrialization, the issue of declining air quality is increasingly
becoming a critical concern. Accurate prediction of the Air Quality Index (AQI), considered as …

Modeling and Estimation of New Prediction of the Global Solar Irradiation on Horizontal Areas: A Comprehensive Analysis

S Boultif, F Chabane, N Belghar - Available at SSRN 4798963 - papers.ssrn.com
This study reports annual solar radiation measurements in Biskra (latitude 34 48′ N,
longitude 5 44′ E) using a single pyranometer during 2023. From sunrise to sunset, data …