Titlebook: Computational Intelligence Techniques for Green Smart Cities; Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh Book 2022 The Editor(s) (if applic

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Solar Radiation Forecasting for Smart Building Applicationsake buildings more energy efficient, smart and optimal energy management systems called predictive building control were developed both for heat and electricity utilization. In these energy management systems (EMSs), a weather forecasting platform is often incorporated and allows to anticipate the m

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Prediction of Air Quality Index Using Machine Learning Techniques and the Study of Its Influence on hing in major industrialized regions. Specifically, the industrial regions in and around India contribute a major part in the depletion of air quality in the south Asian region. Further, air pollution plays a vital role on the harmful diseases in the metropolises in India. The pollutant levels have

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Machine Learning and Fuzzy Technique for Environmental Time Series Analysisider the application of fuzzy techniques combined with machine learning methods. Especially, we will apply a multi layer perceptron equipped with fuzzy layers, say ANFIS model, and a fuzzy deep learning neural network, say Fuzzy Auto Encoder. These approach has shown the improvement in the results o

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Computational Intelligence Techniques for Green Smart Cities

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Book 2022etter integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or addi

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Machine Learning Techniques for Renewable Energy Forecasting: A Comprehensive Reviewral solutions and forecasting models based on machine learning have been extensively proposed in the literature for predicting power energy that should be deployed for future smart cities. This chapter aims to conduct a systematic mapping study to analyze and synthesize studies concerning machine le

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Artificial Intelligence Based Smart Waste Management—A Systematic Reviewer has addressed various  waste management domains like municipal solid waste management, smart bin management, domestic waste management, medical waste management, construction and industrial waste management, and so on. Furthermore, categorical representation of most extensively used machine learn