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Group, London Business School''This book presents modern tools for modeling and forecasting energy loads and prices. The;
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Forecasting Models of Electricity Prices is een boek van Lightning Source Uk Ltd;
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behaviour of electricity prices. It is a high-quality synthesis of the work of financial engineering, industrial economics and power systems;
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demand, temperature, sunshine, fuel cost, precipitation and other related factors. This book presents a mid-term electricity MCP forecasting;
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once again under intense scrutiny. This book provides new insights into the modeling and forecasting of primary commodity prices by featuring;
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once again under intense scrutiny. This book provides new insights into the modeling and forecasting of primary commodity prices by featuring;
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, electricity price forecasting has assumed a prominent role within both the academic and industrial arenas. Short-run forecasting of electricity prices;
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Commodity futures prices are widely used as a tool for forecasting and predicting future commodity spot prices. Indeed, commodity futures;
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of electricity, helping to curb escalating electricity prices for consumers, allowing power generators greater control of the electrical loads and;
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Commodity Modeling and Pricing provides extensions and applications of state-of-the-art methods for analyzing resource commodity behavior;
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market prices and commodity market prices. The book ends with a discussion of the appropriateness of various techniques, recent developments;
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electricity sector introduces competition in potential competitive segments to decrease prices and to make retailers more consumer-oriented. Since;
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of long-term changes in the rules governing the determination of wholesale electricity spot prices in the NEM, including minimum (floor) and;
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, dynamical analysis and chaos control of a discrete sis epidemic model, electricity market stochastic dynamic model and its mean stability analysis;
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Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making;
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The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction;
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of the book examines the latest methods and models for self-scheduling, load forecasting, short-term electricity price forecasting, and wind;
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Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing;
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This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem;
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This book covers time series modeling and forecasting for econometrics and finance students. This new edition has been simplified for more;
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Stay up to date with the most effective practices in tourism demand forecasting! Tourism Forecasting and Marketing presents vital, up;
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have changed since 2001, and the implications of these changes on efforts to maintain reliability, and on electricity prices.;
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needs, and discussing the advantages and main challenges of MPC and RBC controllers in terms of efficiency of heat pump operation, electricity;
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needs, and discussing the advantages and main challenges of MPC and RBC controllers in terms of efficiency of heat pump operation, electricity;
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