A novel hybrid model for solar radiation forecasting using support vector machine and bee colony optimization algorithm: review and case study
This article proposes a new hybrid least squares-support vector machine and artificial bee
colony algorithm (ABC-LS-SVM) for multi-hour ahead forecasting of global solar radiation …
colony algorithm (ABC-LS-SVM) for multi-hour ahead forecasting of global solar radiation …
Potential assessment of the TVF-EMD algorithm in forecasting hourly global solar radiation: Review and case studies
Accurate and effective forecasting of short-term global solar radiation is critical for the
development of photovoltaic systems, particularly for integration into existing grid systems …
development of photovoltaic systems, particularly for integration into existing grid systems …
A robust regressor model for estimating solar radiation using an ensemble stacking approach based on machine learning
Of late, with the rapid advancement in solar power generation, some difficulties have
cropped up due to solar intermittency, necessitating an accurate forecast of Global …
cropped up due to solar intermittency, necessitating an accurate forecast of Global …
Short‐Term PV Power Forecasting Using a Hybrid TVF‐EMD‐ELM Strategy
R Khelifi, M Guermoui, A Rabehi… - … on Electrical Energy …, 2023 - Wiley Online Library
This paper discusses the efficient implementation of a new hybrid approach to forecasting
short‐term PV power production for four different PV plants in Algeria. The developed model …
short‐term PV power production for four different PV plants in Algeria. The developed model …
New soft computing model for multi-hours forecasting of global solar radiation
M Guermoui, K Bouchouicha, S Benkaciali… - … Physical Journal Plus, 2022 - epjplus.epj.org
The growing development of photovoltaic technology has explored the role of effective solar
irradiance forecasting in grid security and stability However, due to its non-stationary nature …
irradiance forecasting in grid security and stability However, due to its non-stationary nature …
Unleashing deep neural network full potential for solar radiation forecasting in a new geographic location with historical data scarcity: a transfer learning approach
More grid-connected solar thermal and photovoltaic power plants are coming online every
year, which necessitates precise irradiance forecasters for plant management. A major …
year, which necessitates precise irradiance forecasters for plant management. A major …
Advancements and Prospects of Electronic Nose in Various Applications: A Comprehensive Review
An electronic nose, designed to replicate human olfaction, captures distinctive
'fingerprint'data from mixed gases or odors. Comprising a gas sensing system and an …
'fingerprint'data from mixed gases or odors. Comprising a gas sensing system and an …
Machine learning and deep learning models based grid search cross validation for short-term solar irradiance forecasting
D El-Shahat, A Tolba, M Abouhawwash… - Journal of Big Data, 2024 - Springer
Abstract In late 2023, the United Nations conference on climate change (COP28), which was
held in Dubai, encouraged a quick move from fossil fuels to renewable energy. Solar energy …
held in Dubai, encouraged a quick move from fossil fuels to renewable energy. Solar energy …
Multi‐hour ahead forecasting of building energy through a new integrated model
The increase in electricity demand requires improved energy planning programs, which
involve better energy distribution. Therefore, precise energy demand forecasting is of great …
involve better energy distribution. Therefore, precise energy demand forecasting is of great …
Evaluation of different models for global solar radiation components assessment
This work presents a comparative study between different machine learning techniques for
solar radiation components assessment. The developed models are evaluated using a valid …
solar radiation components assessment. The developed models are evaluated using a valid …