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Short-Term Electrical Load Forecasting For An Institutional/Industrial Power System Using An Artificial Neural Network, Eric Lynn Taylor
Short-Term Electrical Load Forecasting For An Institutional/Industrial Power System Using An Artificial Neural Network, Eric Lynn Taylor
Masters Theses
For optimal power system operation, electrical generation must follow electrical load demand. The generation, transmission, and distribution utilities require some means to forecast the electrical load so they can utilize their electrical infrastructure efficiently, securely, and economically. The short-term load forecast (STLF) represents the electric load forecast for a time interval of a few hours to a few days. This thesis will define STLF as a 24-hour-ahead load forecast whose results will provide an hourly electric load forecast in kilowatts (kW) for the future 24 hours (a 24-hour load profile).
This thesis will use the method of Artificial Neural Networks …