Predicting System Loads with Arti cial
نویسندگان
چکیده
We devise a feed-forward Artiicial Neural Network (ANN) procedure for predicting utility loads and present the resulting predictions for two test problems given by \The Great Energy Predictor Shootout-The First Building Data Analysis and Prediction Competition" 1]. Key ingredients in our approach are a method (test) for determining relevant inputs and the Multilayer Perceptron. These methods are brieey reviewed together with comments on alternative schemes like tting to polynomials and the use of recurrent networks.
منابع مشابه
Evolving Neural Networks for Chlorophyll a Prediction
This paper studies the application of evolutionary arti cial neural networks to chlorophyll a pre diction in Lake Kasumigaura Unlike previous applications of arti cial neural networks in this eld the architecture of the arti cial neural network is evolved automatically rather than designed man ually The evolutionary system is able to nd a near optimal architecture of the arti cial neural networ...
متن کاملGenetic Algorithms and Artiicial Life
Genetic algorithms are computational models of evolution that play a central role in many arti cial-life models. We review the history and current scope of research on genetic algorithms in arti cial life, using illustrative examples in which the genetic algorithm is used to study how learning and evolution interact, and to model ecosystems, immune system, cognitive systems, and social systems....
متن کاملIntelligence Without Reason
Computers and Thought are the two categories that together de ne Arti cial Intelligence as a discipline. It is generally accepted that work in Arti cial Intelligence over the last thirty years has had a strong in uence on aspects of computer architectures. In this paper we also make the converse claim; that the state of computer architecture has been a strong in uence on our models of thought. ...
متن کاملOn computational social laws for dynamic non-homogeneous social structures
Approaches to the coordination of arti cial agents may be inspired by observations on human and other natural societies. On the other hand, the introduction and the analysis of general computationalmodels and mechanisms of coordination may shed light on the general theory of coordination. This paper extends a fundamental approach to the coordination of arti cial agent societies, the arti cial s...
متن کاملTowards an Agent-Based Foundation of Financial Econometrics: An Approach Based on Genetic-Programming Artificial Markets
Using a few nonlinear econometric tools, this paper examines some time-series properties of GP-based arti cial markets. We nd that GP-based arti cial markets are able to replicate several stylized features well documented in nancial econometrics. In particular, the time series generated by the GPbased arti cial markets are consistent with the e cient market hypothesis in the linear sense. Furth...
متن کامل