Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
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 …
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 …
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 …
Forecasting methods in energy planning models
KB Debnath, M Mourshed - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
Experimental evaluation of using various renewable energy sources for heating a greenhouse
The interest in alternative or renewable energy sources for greenhouse heating is currently
high, owing to the large heating loads and the relatively high price of fossil fuels. Important …
high, owing to the large heating loads and the relatively high price of fossil fuels. Important …
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 …
Performance of ground heat exchangers: A comprehensive review of recent advances
The importance of investigating and addressing climate change, through the use of
renewable energy, is substantially increasing. Shallow geothermal energy is usually a …
renewable energy, is substantially increasing. Shallow geothermal energy is usually a …
A review on machine learning forecasting growth trends and their real-time applications in different energy systems
T Ahmad, H Chen - Sustainable Cities and Society, 2020 - Elsevier
Energy forecasting and planning play an important role in energy sector development and
policy formulation. The forecasting model selection mostly based on the availability of the …
policy formulation. The forecasting model selection mostly based on the availability of the …