Publication

Field test experiences with neural network models for short term electrical load forecasting in West Switzerland

Alain Germond
1996
Journal Articles

Abstract

In this paper, the authors present successful field test experience in the use of neural networks for short-term electrical load forecasting. After reviewing the importance of load forecasting as a key planning tool for a modern energy management system (EMS), they outline the advantages of using neural networks, how they are implemented, the choice of explicative variables and the selection of appropriate models. In the field test, a fully automatic load forecasting service was implemented. Numerical results are presented showing the importance of forecasted temperatures for a good load forecast and a comparison of rural and urban regions in terms of accuracy

Official source

https://infoscience.epfl.ch/entities/publication/96e1002f-9247-4259-af2c-8a8bda2d720d

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Alain Germond
1996
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/96e1002f-9247-4259-af2c-8a8bda2d720d

About this result

Related concepts (30)

Load-following power plant

A load-following power plant, regarded as producing mid-merit or mid-priced electricity, is a power plant that adjusts its power output as demand for electricity fluctuates throughout the day. Load-following plants are typically in between base load and peaking power plants in efficiency, speed of start-up and shut-down, construction cost, cost of electricity and capacity factor. Base load power plants are dispatchable plants that tend to operate at maximum output.

Artificial neural network

Artificial neural networks (ANNs, also shortened to neural networks (NNs) or neural nets) are a branch of machine learning models that are built using principles of neuronal organization discovered by connectionism in the biological neural networks constituting animal brains. An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons.

Load management

Load management, also known as demand-side management (DSM), is the process of balancing the supply of electricity on the network with the electrical load by adjusting or controlling the load rather than the power station output. This can be achieved by direct intervention of the utility in real time, by the use of frequency sensitive relays triggering the circuit breakers (ripple control), by time clocks, or by using special tariffs to influence consumer behavior.

Related publications (32)

Field test experiences with neural network models for short term electrical load forecasting in West Switzerland

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