Results 51 to 60 of about 112,353 (156)

Hybrid machine learning model combining of CNN-LSTM-RF for time series forecasting of Solar Power Generation

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Forecasting solar power generation (SPG) is vital for the development and planning of power systems, offering significant benefits in terms of technical performance and financial efficiency.
Mobarak Abumohsen, Amani Yousef Owda, Majdi Owda, Ahmad Abumihsan   +3 more
doaj   +1 more source

Deriving Power Consumption Models From Energy Bills for Optimal Sizing of Hybrid Power in Commercial Buildings

IEEE Access
In recent years, commercial buildings have turned to installing their own hybrid power plants to reduce extremely high energy costs. Arguments such as the efficiency of producing electricity where it is consumed, and government incentives also supported ...
Nihat Cankaya
doaj   +1 more source

Sizing, design, and installation of an isolated wind–photovoltaic hybrid power system with battery storage for laboratory general illumination in Afyonkarahisar, Turkey

Journal of Energy in Southern Africa, 2017
power generation system of a size able to meet the electric power requirement for general illumination of the electric laboratory at Afyon Kocatepe University was dimensioned and installed.
Yüksel Oğuz, M. Feyzi Özsoy
doaj   +1 more source

An Ensemble Approach to Short-Term Wind Speed Predictions Using Stochastic Methods, Wavelets and Gradient Boosting Decision Trees

Wind
Considering that wind power is proportional to the cube of the wind speed variable, which is highly random, complex power grid management tasks have arisen as a result.
Khathutshelo Steven Sivhugwana, Edmore Ranganai   +1 more
doaj   +1 more source

Stock Market Prediction Using a Hybrid of Deep Learning Models

International Journal of Financial Studies, Economics and Management, 2023
Financial markets play an essential role in developing modern society and enabling the deployment of economic resources. This study focuses on predicting stock prices using deep learning models.
Chika Yinka-Banjo, Mary Akinyemi , Bouchra Er-rabbany   +2 more
doaj  

Enhancing Smart and Zero-Carbon Cities Through a Hybrid CNN-LSTM Algorithm for Sustainable AI-Driven Solar Power Forecasting (SAI-SPF)

Buildings
The transition to smart, zero-carbon cities relies on advanced, sustainable energy solutions, with artificial intelligence (AI) playing a crucial role in optimizing renewable energy management.
Haytham Elmousalami, Felix Kin Peng Hui, Aljawharah A. Alnaser   +2 more
doaj   +1 more source

A Hybrid ANFIS-ABC Based MPPT Controller for PV System With Anti-Islanding Grid Protection: Experimental Realization

IEEE Access, 2019
This paper introduces a novel control system with maximum power point tracker (MPPT) for the photovoltaic system with grid integration. Hybrid adaptive neuro-fuzzy inference system (ANFIS) and artificial bee colony (ABC) algorithm employed to optimize ...
Sanjeevikumar Padmanaban, Neeraj Priyadarshi, Mahajan Sagar Bhaskar, Jens Bo Holm-Nielsen, Vigna K. Ramachandaramurthy, Eklas Hossain   +5 more
doaj   +1 more source

Hybrid Modified Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Electric Power Consumption Prediction

International Journal of Photoenergy
Load forecasting is crucial in power system energy management, aiding planning and operations. The latest modified forecasting methods are important for best prediction of the electric power consumption of the load which nowadays are not practically ...
Molla Addisu Mossie, Estifanos Abeje Sharew, Tewodros Gera Workineh, Yechale Amogne Alemu   +3 more
doaj   +1 more source

Resilient nuclear-photovoltaic-battery hybrid microgrid with MPCOC-based adaptive load-following for areostationary deep space missions

Energy Conversion and Management: X
Reliable instantaneous high-power supply remains a critical technological bottleneck for deep space exploration. Here, we propose a novel hybrid microgrid architecture tailored for areostationary orbit applications, integrating a miniaturized nuclear ...
Xingju Du, Xianwen Ran, Xiaoxue Huang, Nongchao Tan, Zhongliang Lv, Tao Zhang, Kaiguo Chen   +6 more
doaj   +1 more source

Maximizing thermal and electrical efficiency with thermoelectric generators and hybrid photovoltaic converters: Numerical, economic, and machine learning analysis

Case Studies in Thermal Engineering
In this paper, we introduce an innovative thermoelectric, photovoltaic hybrid system and investigate its performance under various radiation intensities and heat transfer coefficients outside the cavity.
Haitham Osman, Loke Kok Foong, Binh Nguyen Le, Velibor Spalevic, Branislav Dudic, Goran Skataric   +5 more
doaj   +1 more source