Strategies to save energy in the context of the energy crisis: a review
New technologies, systems, societal organization and policies for energy saving are
urgently needed in the context of accelerated climate change, the Ukraine conflict and the …
urgently needed in the context of accelerated climate change, the Ukraine conflict and the …
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 …
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 …
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 …
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 …
A review of data-driven building energy consumption prediction studies
K Amasyali, NM El-Gohary - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy is the lifeblood of modern societies. In the past decades, the world's energy
consumption and associated CO 2 emissions increased rapidly due to the increases in …
consumption and associated CO 2 emissions increased rapidly due to the increases in …
Application and suitability analysis of the key technologies in nearly zero energy buildings in China
The energy consumption in buildings accounts for a significant proportion of total energy
and carbon emissions over the world. To reduce the building energy consumption and …
and carbon emissions over the world. To reduce the building energy consumption and …
Solar process heat in industrial systems–A global review
In developing countries, industries and manufacturing sectors consume a major portion of
the total consumption of energy, where most of the energy is used for low, medium or high …
the total consumption of energy, where most of the energy is used for low, medium or high …
Load demand forecasting of residential buildings using a deep learning model
L Wen, K Zhou, S Yang - Electric Power Systems Research, 2020 - Elsevier
In smart grid and smart building environment, it is important to implement accurate load
demand forecasting of residential buildings. This plays an important role in supporting the …
demand forecasting of residential buildings. This plays an important role in supporting the …