Results 21 to 30 of about 3,518,669 (281)

Performance Analysis of Statistical, Machine Learning and Deep Learning Models in Long-Term Forecasting of Solar Power Production

Forecasting, 2023
The Machine Learning/Deep Learning (ML/DL) forecasting model has helped stakeholders overcome uncertainties associated with renewable energy resources and time planning for probable near-term power fluctuations.
Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, A. Bilbao, Qin Wang, A. Wigington, S. Pol   +7 more
semanticscholar   +1 more source

An explicit method of mesoscale convective storm prediction for the central region of Russia [PDF]

Advances in Science and Research, 2018
This work presents simulation results of the storm observed on the 13–14 July 2016 over the Central region of Russia. The Cumulonimbus cloud (Cb) electrification model coupled with the numerical weather prediction model WRF-ARW were used for this ...
I. M. Gubenko, I. M. Gubenko, M. M. Kurbatova, M. M. Kurbatova, K. G. Rubinstein, K. G. Rubinstein   +5 more
doaj   +1 more source

Long-Term Forecasting of Air Pollution Particulate Matter (PM2.5) and Analysis of Influencing Factors

Sustainability, 2023
Long-term forecasting and analysis of PM2.5, a significant air pollution source, is vital for environmental governance and sustainable development.
Yuyi Zhang, Qiushi Sun, Jing Liu, Ovanes L. Petrosian   +3 more
semanticscholar   +1 more source

Review on the Application of Photovoltaic Forecasting Using Machine Learning for Very Short- to Long-Term Forecasting

Sustainability, 2023
Advancements in renewable energy technology have significantly reduced the consumer dependence on conventional energy sources for power generation. Solar energy has proven to be a sustainable source of power generation compared to other renewable energy ...
Putri Nor Liyana Mohamad Radzi, Muhammad Naveed Akhter, S. Mekhilef, Noraisyah Mohamed Shah   +3 more
semanticscholar   +1 more source

Research on Long Short-Term Decision-Making System for Excavator Market Demand Forecasting Based on Improved Support Vector Machine

Applied Sciences, 2021
Future demand forecasting of the excavators is of great significance to guide the supply and marketing plan. For a long time, market forecasting of the construction machinery is regarded as short-term forecasting, which lacks the analysis of macro ...
Bin Zhang, Teng Yang, Haocen Hong, Guozan Cheng, Huayong Yang, Tongman Wang, Donghui Cao   +6 more
doaj   +1 more source

Nonlinear ARIMAX model for long –term sectoral demand forecasting [PDF]

Management Science Letters, 2018
With the rapid increase of energy demand, it is becoming increasingly important to obtain accurate energy demand forecasts. To incorporate long time causal relationships, autoregressive with exoge-nous regression components models have received ...
Najmeh Neshat , Hengameh Hadian, Matineh Behzad   +2 more
doaj   +1 more source

The effect of driver variables on the estimation of bivariate probability density of peak loads in long-term horizon

Journal of Big Data, 2021
It is evident that developing more accurate forecasting methods is the pillar of building robust multi-energy systems (MES). In this context, long-term forecasting is also indispensable to have a robust expansion planning program for modern power systems.
Zohreh Kaheh, Morteza Shabanzadeh
doaj   +1 more source

A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network

IEEE Access, 2021
In this study, a new technique is proposed to forecast short-term electrical load. Load forecasting is an integral part of power system planning and operation.
Shafiul Hasan Rafi, Nahid-Al-Masood, Shohana Rahman Deeba, Eklas Hossain   +3 more
doaj   +1 more source

Intelligence based Accurate Medium and Long Term Load Forecasting System

Applied Artificial Intelligence, 2022
In this study, we aim to provide an efficient load prediction system projected for different local feeders to predict the Medium- and Long-term Load Forecasting.
Faisal Mehmood Butt, Lal Hussain, Syed Hassan Mujtaba Jafri, Haya Mesfer Alshahrani, Fahd N Al-Wesabi, Kashif Javed Lone, Elsayed M. Tag El Din, Mesfer Al Duhayyim   +7 more
doaj   +1 more source

Monthly Runoff Forecasting by Non-Generalizing Machine Learning Model and Feature Space Transformation (Vakhsh River Case Study) [PDF]

Problems of the Regional Energetics, 2022
Energy prices and сost of materials for solar and wind power plants have increased over the past year. Therefore, significance increases for the hydropower and long-term (1–10 years) planning generation for the existing hydropower plants, which requires ...
Matrenin P.V., Safaraliev M.K., Kiryanova N.G., Sultonov S.M.   +3 more
doaj   +1 more source