Results 281 to 290 of about 780,815 (382)
Energy Science &Engineering, EarlyView.This study proposes a sustainable financing model for renewable energy in Iran by channeling petrochemical profits and carbon tax revenues into feed‐in tariffs. Reallocating natural gas from low‐efficiency power plants to high‐value petrochemical production enhances economic returns while reducing CO₂ emissions.
Mahdi Karbalaei Aghababaei +3 more
wiley +1 more source
Worldwide orthopaedic research activity 2010-2014: Publication rates in the top 15 orthopaedic journals related to population size and gross domestic product. [PDF]
World J Orthop, 2017 Hohmann E, Glatt V, Tetsworth K.
europepmc +1 more source
Energy Science &Engineering, EarlyView.This article introduces an operation strategy utilizing a hydrogen and biomass collaborative energy storage to regulate the power supply and demand. The results show that the system achieves annual average energy and exergy efficiencies of 87.77% and 67.16%, respectively.
Kai Ding, Ximin Cao, Yanchi Zhang
wiley +1 more source
A Novel Approach to Regionalize Country‐Level GDP Projections
Journal of Forecasting, EarlyView.ABSTRACT Socioeconomic projections are policy support tools that are often limited to country‐level data, making them insufficient for policy areas that require a more nuanced, sub‐national perspective. For granular geographical analyses in a multicountry setting, international organizations often rely on straightforward regionalization techniques ...
Riccardo Curtale +2 more
wiley +1 more source
THE ROLE OF EXPORTS AND IMPORTS IN SHAPING GROSS DOMESTIC PRODUCT (GDP) DYNAMICS
Amour Mpojota
openalex +1 more source
Forecasting Carbon Prices: A Literature Review
Journal of Forecasting, EarlyView.ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting
Journal of Forecasting, EarlyView.ABSTRACT Forecasting systems have a long tradition in providing outputs accompanied by explanations. While the vast majority of such explanations relies on inherently interpretable linear statistical models, research has put forth eXplainable Artificial Intelligence (XAI) methods to improve the comprehensibility of nonlinear machine learning models. As
Felix Haag +2 more
wiley +1 more source
Seasonal Decomposition‐Enhanced Deep Learning Architecture for Probabilistic Forecasting
Journal of Forecasting, EarlyView.ABSTRACT Time series decomposition as a general preprocessing method has been widely used in the field of time series forecasting. However, since the future is unknown, this preprocessing practice is limited in realistic forecasting, especially in real‐time forecasting scenarios.
Keyan Jin +1 more
wiley +1 more source