Forecasting of Chinese Hydropower Generation Using WASD-Neuronet
نویسندگان
چکیده
منابع مشابه
Agriculture and Hydropower Generation
Extended Abstract The study La Economía del Cambio Climático en Chile (Economy of Climate Change in Chile) (CEPAL, 2009) shows the impacts of Climate Change in Chile using the results from the GCM model HadCM3, with two GHG scenarios (A2 and B2). As projected in these scenarios, for the near future period it is expected a raise in temperature in Central and South Chile in the order of 1-2°C and...
متن کاملForecasting Generation Waste Using Artificial Neural Networks
Municipal solid waste (MSW) is the natural result of human activities. MSW generation modeling is major significant in municipal solid waste management system planning. Predicting the amount of generated waste is difficult task because it is affect by various parameters. In this research, Artificial Neural Network (ANN) was trained and tested to weekly waste generation (WWG) model in Sari’s cit...
متن کاملHow run-of-river operation affects hydropower generation and value.
Regulated rivers in the United States are required to support human water uses while preserving aquatic ecosystems. However, the effectiveness of hydropower license requirements nationwide has not been demonstrated. One requirement that has become more common is "run-of-river" (ROR) operation, which restores a natural flow regime. It is widely believed that ROR requirements (1) are mandated to ...
متن کاملPower Forecasting of Photovoltaic Generation
Photovoltaic power generation forecasting is an important task in renewable energy power system planning and operating. This paper explores the application of neural networks (NN) to study the design of photovoltaic power generation forecasting systems for one week ahead using weather databases include the global irradiance, and temperature of Ghardaia city (south of Algeria) using a data acqui...
متن کاملMitigating hydrologic financial risk in hydropower generation using index-based financial instruments
Variability in streamflows can lead to reduced generation from hydropower producers and result in reductions in revenues that can be financially disruptive. This link between hydrologic and financial uncertainties, and the possibility of increased hydrologic variability in the future, suggests that hydropower producers need to begin to consider new strategies and tools for managing these financ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Robotics and Control
سال: 2018
ISSN: 2577-7769,2577-7742
DOI: 10.5430/ijrc.v1n1p48