Zobrazeno 1 - 10
of 1 583
pro vyhledávání: '"energy forecasting"'
Autor:
Mithul Raaj A T, Balaji B, Sai Arun Pravin R R, Rani Chinnappa Naidu, Rajesh Kumar M, Prakash Ramachandran, Sujatha Rajkumar, Vaegae Naveen Kumar, Geetika Aggarwal, Arooj Mubashara Siddiqui
Publikováno v:
IoT, Vol 5, Iss 3, Pp 560-591 (2024)
In response to the growing need for enhanced energy management in smart grids in sustainable smart cities, this study addresses the critical need for grid stability and efficient integration of renewable energy sources, utilizing advanced technologie
Externí odkaz:
https://doaj.org/article/f8552c03e0cd4384a6b0c64cedbd233a
Publikováno v:
Iraqi Journal for Computers and Informatics, Vol 50, Iss 1, Pp 123-132 (2024)
In the present era of smart grids, accurate prediction of energy uses is becoming increasingly essential to guarantee optimal energy efficiency. This study contributes to the field by utilizing advanced machine learning techniques to perform predicti
Externí odkaz:
https://doaj.org/article/cb85330957b24d21a3be778db1cc6af7
Autor:
Thanh Tuan Le, Jayabal Chandra Priya, Huu Cuong Le, Nguyen Viet Linh Le, Minh Thai Duong, Dao Nam Cao
Publikováno v:
International Journal of Renewable Energy Development, Vol 13, Iss 2, Pp 270-293 (2024)
The escalating trends in energy consumption and the associated emissions of pollutants in the past century have led to energy depletion and environmental pollution. Achieving comprehensive sustainability requires the optimization of energy efficiency
Externí odkaz:
https://doaj.org/article/77897d3f090b42b780024f0aadd13980
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractDemand for electric power, especially amidst limited fossil fuel-based generation capacity, has elevated renewable energy sources to a forefront solution for the growing energy needs. Solar energy, a key renewable source through photovoltaic
Externí odkaz:
https://doaj.org/article/5e40fa4df5164da8a479b378657bb2f6
Autor:
Mutaz AlShafeey, Csaba Csaki
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e34807- (2024)
This study elucidates the formulation and validation of a dynamic hybrid model for wind energy forecasting, with a particular emphasis on its capability for both short-term and long-term predictive accuracy. The model is predicated on the assimilatio
Externí odkaz:
https://doaj.org/article/8218d4b23d5246ba83400254ed33d8ee
Publikováno v:
Indonesian Journal of Data and Science, Vol 5, Iss 2 (2024)
Renewable energy sources are needed globally to support the available non-renewable energy sources our day-to-day living. There is high demand for renewable energy sources in both the developed and developing economies. Solar power is a good example
Externí odkaz:
https://doaj.org/article/e3bd509f856d4465b108e0243a423f32
Autor:
Nasser Alkhulaifi, Alexander L. Bowler, Direnc Pekaslan, Gulcan Serdaroglu, Steve Closs, Nicholas J. Watson, Isaac Triguero
Publikováno v:
IEEE Access, Vol 12, Pp 153935-153951 (2024)
As energy demands and costs rise, enhancing energy efficiency in Food and Drink Cold Storage (FDCS) rooms is important for reducing expenses and achieving environmental sustainability ambitions. Forecasting electricity use in FDCSs can help optimise
Externí odkaz:
https://doaj.org/article/0923254659e04fdca18234eec94f95f6
Autor:
Nattha Thipwangmek, Nopparuj Suetrong, Attaphongse Taparugssanagorn, Suparit Tangparitkul, Natthanan Promsuk
Publikováno v:
IEEE Access, Vol 12, Pp 108928-108941 (2024)
Solar photovoltaic (PV) power generation is gradually increasing, but its intermittent nature poses challenges to grid stability. To address this, advanced forecasting methods, such as deep learning (DL) algorithms, can be employed to ensure a more s
Externí odkaz:
https://doaj.org/article/620118e72c014a0f8d952163dd093f18