Revised Short-term Peak Demand Forecast (2011-2012) PDF Download
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Author:
Publisher:
ISBN:
Category : Electric power consumption
Languages : en
Pages : 34
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Book Description
Author:
Publisher:
ISBN:
Category : Electric power consumption
Languages : en
Pages : 34
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Electric power consumption
Languages : en
Pages : 46
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Book Description
Author: Chris Kavalec
Publisher:
ISBN:
Category : Electric power consumption
Languages : en
Pages : 132
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Book Description
Author: Antonio Gabaldón
Publisher: MDPI
ISBN: 303943442X
Category : Technology & Engineering
Languages : en
Pages : 324
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Book Description
Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the future. However, there is still much to do in these research areas. The deployment of enabling technologies (e.g., smart meters) has made high-granularity data available for many customer segments and to approach many issues, for instance, to make forecasting tasks feasible at several demand aggregation levels. The first challenge is the improvement of STLF models and their performance at new aggregation levels. Moreover, the mix of renewables in the power system, and the necessity to include more flexibility through demand response initiatives have introduced greater uncertainties, which means new challenges for STLF in a more dynamic power system in the 2030–50 horizon. Many techniques have been proposed and applied for STLF, including traditional statistical models and AI techniques. Besides, distribution planning needs, as well as grid modernization, have initiated the development of hierarchical load forecasting. Analogously, the need to face new sources of uncertainty in the power system is giving more importance to probabilistic load forecasting. This Special Issue deals with both fundamental research and practical application research on STLF methodologies to face the challenges of a more distributed and customer-centered power system.
Author: Wei-Chiang Hong
Publisher: MDPI
ISBN: 3038972908
Category : Technology & Engineering
Languages : en
Pages : 251
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Book Description
This book is a printed edition of the Special Issue "Hybrid Advanced Techniques for Forecasting in Energy Sector" that was published in Energies
Author: Lynn Marshall
Publisher:
ISBN:
Category : Electric power consumption
Languages : en
Pages : 22
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Book Description
Author:
Publisher:
ISBN:
Category : Electric power consumption
Languages : en
Pages : 320
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Book Description
Author: Rayner Alfred
Publisher: Springer Nature
ISBN: 9811685150
Category : Technology & Engineering
Languages : en
Pages : 887
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Book Description
This book gathers the proceedings of the Seventh International Conference on Computational Science and Technology (ICCST 2021), held in Labuan, Malaysia, on 28–29 August 2021. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods.
Author:
Publisher:
ISBN:
Category : Electric power consumption
Languages : en
Pages : 268
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Book Description
Author: Srikanta Patnaik
Publisher: Springer Nature
ISBN: 303072929X
Category : Technology & Engineering
Languages : en
Pages : 682
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Book Description
This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.
