LEADER 05070nam 22007455 450 001 9911018752603321 005 20250725130239.0 010 $a9783031948626$b(electronic bk.) 010 $z9783031948619 024 7 $a10.1007/978-3-031-94862-6 035 $a(MiAaPQ)EBC32235808 035 $a(Au-PeEL)EBL32235808 035 $a(CKB)39719245900041 035 $a(DE-He213)978-3-031-94862-6 035 $a(EXLCZ)9939719245900041 100 $a20250725d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning Technologies on Energy Economics and Finance $eEnergy and Sustainable Analytics, Volume 1 /$fedited by Mohammad Zoynul Abedin, Wang Yong 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (413 pages) 225 1 $aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v367 311 08$aPrint version: Abedin, Mohammad Zoynul Machine Learning Technologies on Energy Economics and Finance Cham : Springer,c2025 9783031948619 327 $aAnalyzing Global Energy Patterns: Clustering Countries and Predicting Trends Towards Achieving Sustainable Development Goals -- Access to Energy Finance: Development of Renewable Energy in Bangladesh -- Explainable AI in Energy Forecasting: Understanding Natural Gas Consumption through Interpretable Machine Learning Models -- An Extensive Statistical Analysis of Time Series Modelling and Forecasting of Crude Oil Prices -- Comparative analysis of selected emerging economies energy transition scenario: A transition pathway for the continental neighbours -- Forecasting Energy Prices using Machine Learning Algorithms: A Comparative Analysis -- An Evidence-based Explainable AI Approach for Analyzing the Influence of CO2 Emissions on Sustainable Economic Growth -- BLDAR: A Blending Ensemble Learning Approach for Primary Energy Consumption Analysis -- Analyzing Biogas Production in Livestock Farms Using Explainable Machine Learning -- Application of Machine Learning Techniques in the Analysis of Sustainable Energy Finance -- Machine Learning and Deep Learning Strategies for Sustainable Renewable Energy: A Comprehensive Review -- Efficient Gasoline Spot Price Prediction using Hyperparameter Optimization and Ensemble Machine Learning Approach -- The Implications of Energy Transition and Development of Renewable Energy on Sustainable Development Goals of Two Asian Tigers. 330 $aThis book explores the latest innovations in energy economics and finance, with a particular focus on the role of machine learning algorithms in advancing the energy sector. It examines key factors shaping this field, including market structures, regulatory frameworks, environmental impacts, and the dynamics of the global energy market. It discusses the critical application of machine learning (ML) in energy financing, introducing predictive tools for forecasting energy prices across various sectors?such as crude oil, electricity, fuelwood, solar, and natural gas. It also addresses how ML can predict investor behavior and assess the efficiency of energy markets, with a focus on both the opportunities and challenges in renewable energy and energy finance. This book serves as a comprehensive guide for academics, practitioners, financial managers, stakeholders, government officials, and policymakers who seek strategies to enhance energy systems, reduce costs and uncertainties, and optimize revenue for economic growth. This is the first volume of a two-volume set. 410 0$aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v367 606 $aProduction management 606 $aBusiness information services 606 $aFinancial engineering 606 $aMachine learning 606 $aEnergy policy 606 $aEnergy policy 606 $aSustainability 606 $aOperations Management 606 $aIT in Business 606 $aFinancial Technology and Innovation 606 $aMachine Learning 606 $aEnergy Policy, Economics and Management 606 $aSustainability 615 0$aProduction management. 615 0$aBusiness information services. 615 0$aFinancial engineering. 615 0$aMachine learning. 615 0$aEnergy policy. 615 0$aEnergy policy. 615 0$aSustainability. 615 14$aOperations Management. 615 24$aIT in Business. 615 24$aFinancial Technology and Innovation. 615 24$aMachine Learning. 615 24$aEnergy Policy, Economics and Management. 615 24$aSustainability. 676 $a658.5 700 $aAbedin$b Mohammad Zoynul$01837078 701 $aYong$b Wang$01383645 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911018752603321 996 $aMachine Learning Technologies on Energy Economics and Finance$94415428 997 $aUNINA