Journal ArticleDOI
Artificial intelligence in short term electric load forecasting: a state-of-the-art survey for the researcher
TLDR
It is revealed that although still regarded as a novel methodology, AI technologies are shown to have matured to the point of offering real practical benefits in many of their applications.About:
This article is published in Energy Conversion and Management.The article was published on 2003-06-01. It has received 267 citations till now. The article focuses on the topics: Progress in artificial intelligence & Applications of artificial intelligence.read more
Citations
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Theory and applications of HVAC control systems – A review of model predictive control (MPC)
TL;DR: In this paper, the authors present a literature review of model predictive control (MPC) for HVAC systems, with an emphasis on the theory and applications of MPC for heating, ventilation and air conditioning (HVAC) systems.
Book
Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach
TL;DR: In this paper, the authors present a case study of the electricity market in the UK and Australia, showing that electricity prices in both countries are correlated with the number of customers and the amount of electricity consumed.
Journal ArticleDOI
Probabilistic electric load forecasting: A tutorial review
TL;DR: The need to invest in additional research, such as reproducible case studies, probabilistic load forecast evaluation and valuation, and a consideration of emerging technologies and energy policies in the probabilism load forecasting process are underlined.
Journal ArticleDOI
A review of energy models
S. Jebaraj,S. Iniyan +1 more
TL;DR: In this paper, a review paper on energy modeling will help the energy planners, researchers and policy makers widely, and an attempt has been made to understand and review the various emerging issues related to the energy modeling.
Journal ArticleDOI
Paradigm shift in urban energy systems through distributed generation: Methods and models
TL;DR: In this paper, a selection of currently available models for distributed generation planning and design is presented and analyzed in the perspective of gathering their capabilities in an optimization framework to support a paradigm shift in urban energy systems.
References
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Book
Adaptation in natural and artificial systems
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Book
The Handbook of Brain Theory and Neural Networks
TL;DR: A circular cribbage board having a circular base plate on which a circular counter disc, bearing a circular scale having 122 divisions numbered consecutively from 0, is mounted for rotation.
Book
Modern heuristic techniques for combinatorial problems
TL;DR: In this paper, the Lagrangian relaxation and dual ascent tree search were used to solve the graph bisection problem and the graph partition problem, and the traveling salesman problem scheduling problems.