ENERGY USE AND DEMAND PREDICTION USING TIME-SERIES DEEP LEARNING FORECASTING TECHNIQUES: APPLICATION FOR A UNIVERSITY CAMPUS

Energy Use and Demand Prediction Using Time-Series Deep Learning Forecasting Techniques: Application for a University Campus

A growing global impetus has emerged to enhance the sustainability of energy systems and Midge Net Hats practices.The two popular levers to achieve this goal include increasing the proportion of clean energy in the energy mix and enhancing energy efficiency.The former involves reducing reliance on fossil fuel-based energy sources and increasing the

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Optimal design and management of chlorination in drinking water networks: a multi-objective approach using Genetic Algorithms and the Pareto optimality concept

Abstract This paper Gift Card presents the development of multi-objective Genetic Algorithms to optimize chlorination design and management in drinking water networks (DWN).Three objectives have been considered: the improvement of the chlorination uniformity (healthy objective), the minimization of chlorine booster stations number, and the injected

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Interregional Effects of Reduced Timber Harvests: The Impact of the Northern Spotted Owl Listing in Rural and Urban Oregon

A core-periphery, multiregional, input-output model of western Oregon is used to estimate impacts of periphery timber harvest reductions resulting from listing of an endangered species.Under the most probable scenario, 31,620 Cookbooks total jobs would be lost in the two regions.Fourteen percent of this impact is absorbed in the core (Metro) region

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Fundamentals of prosthetic urology

The field of prosthetic urology demonstrates the EMU OIL striking impact that simple devices can have on quality of life.Penile prosthesis and artificial urinary sphincter implantation are the cornerstone procedures on which this specialty focuses.Modern research largely concentrates on decreasing the rates of complication and infection, as the cur

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Genetic Algorithm and Greedy Strategy-Based Multi-Mission-Point Route Planning for Heavy-Duty Semi-Rigid Airship

The large volume and windward area of the heavy-duty semi-rigid airship (HSA) result in a large turning EMU OIL radius when the HSA passes through every mission point.In this study, a multi-mission-point route planning method for HSA based on the genetic algorithm and greedy strategy is proposed to direct the HSA maneuver through every mission poin

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