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Forecasting Photovoltaic Output Power Based on Environmental Parameters Using Artificial Neural Network Methods
Photovoltaic is a system that can convert sunlight into electrical energy. However, photovoltaic efficiency tends to be low and
its performance is affected by several environmental parameters such as dust, wind speed, humidity, temperature and…
its performance is affected by several environmental parameters such as dust, wind speed, humidity, temperature and…
Forecasting the Magnitude Category Based on The Flores Sea Earthquake
Earthquakes are a phenomenon that is still a mystery in terms of predicting events, one of which is the magnitude. As technology
develops, there are many algorithms that can be used as approaches in earthquake forecasting. In the context of…
develops, there are many algorithms that can be used as approaches in earthquake forecasting. In the context of…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Prediction of rainfall using improved deep learning with particle swarm optimization
Rainfall is a natural factor that is very important for farmers or certain
institutions to predict the planting period of a plant. The problem is that rainfall is very difficult to predict. Trials to get optimal rainfall prediction have been carried…
institutions to predict the planting period of a plant. The problem is that rainfall is very difficult to predict. Trials to get optimal rainfall prediction have been carried…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Short-term photovoltaics power forecasting using Jordan recurrent neural network in Surabaya
Photovoltaic (PV) is a renewable electric energy generator that utilizes solar energy. PV is very suitable to be developed in Surabaya, Indonesia. Because Indonesia is located around the equator which has 2 seasons, namely the rainy season and the…