Results 111 to 120 of about 72,436 (339)
Influence of renewable energy trends on fossil fuel refining operations
Biofuels, Bioproducts and Biorefining, EarlyView.Abstract This study examines how renewable energy indicators such as biofuel prices, biofuel integration, electrification, and carbon allowance prices relate to refined fuel production in Portugal’s refining sector. This is set against the backdrop of the sector’s decarbonization efforts and the economic pressures to meet European Union climate targets.
Ana Catarina de Paula Leite +2 more
wiley +1 more source
British Journal of Clinical Pharmacology, EarlyView.N‐of‐1 trials offer a unique and rigorous methodology for evaluating individualized treatment responses, particularly within the context of personalized medicine. This article provides a comprehensive explanation of the conceptual and methodological underpinnings of N‐of‐1 trials, with particular emphasis on statistical techniques and considerations ...
Marcos Clint Leal De Carvalho +5 more
wiley +1 more source
Studi Peramalan Beban Rata – Rata Jangka Pendek Menggunakan Metoda Autoregressive Integrated Moving Average (Arima [PDF]
, 2017 Forecasting. Plans, power plants ,. Electricity needs are increasingly changing daily, so the State Electricity Company (PLN) as a provider of energy must be able to predict daily electricity needs. Short-term forecasting is the prediction of electricity
Jurnal, R. T. (Redaksi)
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Business Strategy and the Environment, EarlyView.ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro +3 more
wiley +1 more source
BarekengTransportation has an important role in supporting the mobility of people in Indonesia. Trains are included in the most widely used transportation category because they are effective and efficient, not only transporting passengers, trains also have a ...
Idrus Syahzaqi +4 more
doaj +1 more source
On the Estimation and Performance of One-dimensional Autoregressive Integrated Moving Average Bilinear Time Series Models [PDF]
, 2010 J. F. Ojo
openalex +1 more source
Deep Underground Science and Engineering, EarlyView.This study investigates ground subsidence during tunnel excavation in karst areas, highlighting the combined effects of karst cave proximity, cave size, and soil spatial variability. Findings suggest that shorter cave distances and larger cave sizes increase subsidence variability, and a modified Peck formula is proposed for more accurate subsidence ...
Zhenghong Su +4 more
wiley +1 more source
Energy Technology, EarlyView.The proposed study combined the dual attention mechanism with a bidirectional long short‐term memory network (DA‐BiLSTM) for short‐term load forecasting. This technique was tested on two electric load datasets to assess its generalizability. Additionally, the robustness of DA‐BiLSTM was illustrated through comparative analysis with other deep learning ...
Sabiha Rani +7 more
wiley +1 more source
A Multivariate Time Series Approach to Modelling Macroeconomic Sequences [PDF]
, 1977 In this paper we discuss a multivariate generalization of autoregressive integrated moving average models. A methodology for constructing multivariate time series models is developed and the derivation of forecasts from such models is considered.
Ledolter, J.
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