Over the years, different researchers have followed one-step-ahead method for forecasting
the time series data. However, one-step-ahead forecasting may not assist people for making …

Modeling sequential data over time has become an intensive and fast-growing research
area. Time series analysis has many applications in the energy field. Time series modeling …

This paper presents a data-driven approach applied to the long term prediction of daily time
series in the Neural Forecasting Competition. The proposal comprises the use of adaptive …

In this paper, we study the competitive interactions between an autonomous pumped-
storage hydropower plant and a thermal power plant in order to optimize power generation …

Multi-step ahead streamflow forecasting is of practical interest for the operation of
hydropower reservoirs. We provide generalized results on the error evolution in multi-step …

This paper presents the evaluation of a daily inflow forecasting model using a tool that
facilitates the analysis of mathematical models for hydroelectric plants. The model is based …

Manifestation of a given emotion on facial expression is not always unique, as the facial
attributes in different instances of similar emotional experiences may vary widely. When a …

This paper presents the application of a methodology for daily reservoir inflow forecasting in
Brazilian hydroelectric plants. The methodology is based on Fuzzy Inference Systems (FIS) …

Rainfall-Runoff (RR) modelling is one of the most important and challenging work in the real
and present world. In all-purpose, rainfall, temperature, soil moisture and infiltration are …

Hydropower is the most important and widely-used renewable source of energy. Nearly one-
fifth of the world's energy each year is supplied by hydroelectric power generation, which is …