Author(s): Zhang Y; Lahmiri S;

Crude oil price forecasting is an important task in energy management and storage. In this regard, deep learning has been applied in the literature to generate accurate forecasts. The main purpose of this study is to design an ensemble prediction system based on various deep learning systems. Specifically, in the first stage of our proposed ensemble syste ...

Article GUID: 41294965

Author(s): Ahmed U; Mahmood A; Khan AR; Kuhlmann L; Alimgeer KS; Razzaq S; Aziz I; Hammad A;

The transition to sustainable energy has become imperative due to the depletion of fossil fuels. Solar energy presents a viable alternative owing to its abundance and environmental benefits. However, the intermittent nature of solar energy requires accurate forecasting of solar irradiance (SI) for reliable operation of photovoltaics (PVs) integrated syste ...

Article GUID: 40185800

Author(s): Dar AA; Chen Z; Rodríguez-Rodríguez S; Haghighat F; González-Rosales B;

Assessing the impact of greenhouse gas (GHG) emissions on agricultural soils is crucial for ensuring food production sustainability in the global effort to combat climate change. The present study delves to comprehensively assess GHG emissions in Cuba's agricultural soil and analyze its implications for rice production and climate change because of it ...

Article GUID: 38295640

Author(s): Mahmud TS; Ng KTW; Hasan MM; An C; Wan S;

There is currently a lack of studies on residential waste collection during COVID-19 in North America. SARIMA models were developed to predict residential waste collection rates (RWCR) across four North American jurisdictions before and during the pandemic. Unlike waste disposal rates, RWCR is relatively less sensitive to the changes in COVID-19 regulator ...

Article GUID: 37274541

Author(s): Sales LP; Pires MM;

Refugia-based conservation strategies offer long-term effectiveness and minimize uncertainty on strategies for climate change adaptation. Here, we use distribution modelling to identify climate change refugia for 617 terrestrial mammals and quantify the role of protected areas in safeguarding these zones across South America. Moist tropical forests locate ...

Article GUID: 36919472