A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
Current electricity price forecasting models rely on only simple hybridizations of data
preprocessing and optimization methods while ignoring the significance of adaptive data …
preprocessing and optimization methods while ignoring the significance of adaptive data …
Ensemble system for short term carbon dioxide emissions forecasting based on multi-objective tangent search algorithm
Z Liu, P Jiang, J Wang, L Zhang - Journal of environmental management, 2022 - Elsevier
Carbon emissions play a crucial role in inducing global warming and climate change.
Accurate and stable carbon emissions forecasting is beneficial for formulating emissions …
Accurate and stable carbon emissions forecasting is beneficial for formulating emissions …
Does air pollution exposure affect semen quality? Evidence from a systematic review and meta-analysis of 93,996 Chinese men
J Liu, Y Dai, R Li, J Yuan, Q Wang… - Frontiers in Public Health, 2023 - frontiersin.org
Background Air pollution may impair male fertility, but it remains controversial whether air
pollution affects semen quality until now. Objectives We undertake a meta-analysis to …
pollution affects semen quality until now. Objectives We undertake a meta-analysis to …
Carbon price forecasting system based on error correction and divide-conquer strategies
X Niu, J Wang, L Zhang - Applied Soft Computing, 2022 - Elsevier
Carbon price forecasting is an important component of a sound carbon price market
mechanism. The accurate prediction of carbon prices is an active topic of research …
mechanism. The accurate prediction of carbon prices is an active topic of research …
Short-term photovoltaic power forecasting based on signal decomposition and machine learning optimization
Y Zhou, J Wang, Z Li, H Lu - Energy Conversion and Management, 2022 - Elsevier
Owing to the continuous increase in the proportion of solar generation accounting for the
total global generation, real-time management of solar power has become indispensable …
total global generation, real-time management of solar power has become indispensable …
Deterministic and uncertainty crude oil price forecasting based on outlier detection and modified multi-objective optimization algorithm
C Wu, J Wang, Y Hao - Resources Policy, 2022 - Elsevier
Highlights•A hybrid forecasting system is developed for crude oil price forecasting.•The
improved multi-objective water cycle algorithm is proposed.•The proposed prediction system …
improved multi-objective water cycle algorithm is proposed.•The proposed prediction system …
A novel ensemble model based on artificial intelligence and mixed-frequency techniques for wind speed forecasting
Wind speed forecasting is of prime importance for wind power generation, which can bring
tremendous economic, social and environmental benefits. However, previous wind speed …
tremendous economic, social and environmental benefits. However, previous wind speed …
Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm
P Jiang, Z Liu, J Wang, L Zhang - Resources Policy, 2021 - Elsevier
Effective crude oil and natural gas futures price forecasting is a crucial endeavor for financial
energy markets and is also a challenging work due to the nonlinear and fluctuant …
energy markets and is also a challenging work due to the nonlinear and fluctuant …
Investigating the nexus between environmental information disclosure and green development efficiency: The intermediary role of green technology innovation—a …
H Yuan - Journal of the Knowledge Economy, 2024 - Springer
This study investigates the intricate relationship between environmental information
disclosure (EID) and green development efficiency (GDE) in Chinese cities from 2005 to …
disclosure (EID) and green development efficiency (GDE) in Chinese cities from 2005 to …
A novel selective ensemble system for wind speed forecasting: From a new perspective of multiple predictors for subseries
Wind speed forecasting is of considerable economic and social significance; however, it
remains challenging. Most state-of-the-art methods attempt to select the optimal predictor for …
remains challenging. Most state-of-the-art methods attempt to select the optimal predictor for …