Data-driven prediction and optimization toward net-zero and positive-energy buildings: A systematic review
SN Mousavi, MG Villarreal-Marroquín… - Building and …, 2023 - Elsevier
Recent advances toward sustainable cities have promoted the concept of near-zero energy
consumption. A Positive Energy Building (PEB) model has been developed by the European …
consumption. A Positive Energy Building (PEB) model has been developed by the European …
Modeling of solar energy systems using artificial neural network: A comprehensive review
The development of different solar energy (SE) systems becomes one of the most important
solutions to the problem of the rapid increase in energy demand. This may be achieved by …
solutions to the problem of the rapid increase in energy demand. This may be achieved by …
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering
R Yan, J Liao, J Yang, W Sun, M Nong, F Li - Expert Systems with …, 2021 - Elsevier
Effective air quality forecasting models are helpful for timely prevention and control of air
pollution. However, the spatiotemporal distribution characteristics of air quality have not …
pollution. However, the spatiotemporal distribution characteristics of air quality have not …
Rice diseases detection and classification using attention based neural network and bayesian optimization
In this research, an attention-based depthwise separable neural network with Bayesian
optimization (ADSNN-BO) is proposed to detect and classify rice disease from rice leaf …
optimization (ADSNN-BO) is proposed to detect and classify rice disease from rice leaf …
The most used MPPT algorithms: Review and the suitable low-cost embedded board for each algorithm
In order to increase the production of photovoltaic-based cleaner energy, the maximum
power point tracking (MPPT) controller was employed. Because different MPPT algorithms …
power point tracking (MPPT) controller was employed. Because different MPPT algorithms …
Recent developments and advancements in solar air heaters: a detailed review
The scientific literature extensively mentions the use of a solar air heater (SAH) by utilizing
solar energy for heating purposes. The poor heat-transfer rate of an SAH with a flat plate is …
solar energy for heating purposes. The poor heat-transfer rate of an SAH with a flat plate is …
Recent developments in solar drying technology of food and agricultural products: A review
HS El-Mesery, AI El-Seesy, Z Hu, Y Li - Renewable and Sustainable …, 2022 - Elsevier
The potential of climate-resilient energy practices depends on the integration of sustainable
energy with energy storage, such as solar energy. Solar energy offers desirable thermal …
energy with energy storage, such as solar energy. Solar energy offers desirable thermal …
[HTML][HTML] Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees
Predictive analytics play an important role in the management of decentralised energy
systems. Prediction models of uncontrolled variables (eg, renewable energy sources …
systems. Prediction models of uncontrolled variables (eg, renewable energy sources …
Biodiesel production from Calophyllum inophyllum-Ceiba pentandra oil mixture: Optimization and characterization
In this study, a novel modeling approach (artificial neural networks (ANN) and ant colony
optimization (ACO)) was used to optimize the process variables for alkaline-catalyzed …
optimization (ACO)) was used to optimize the process variables for alkaline-catalyzed …
Temperature prediction of lithium-ion battery based on artificial neural network model
Y Wang, X Chen, C Li, Y Yu, G Zhou, CY Wang… - Applied Thermal …, 2023 - Elsevier
Accurate temperature prediction is one of the most critical problems to improve battery
performance, and prevent thermal runaway. However, the heat generation and heat …
performance, and prevent thermal runaway. However, the heat generation and heat …