Integrating artificial neural networks and cellular automata model for spatial-temporal load forecasting

Spatio-temporal modelling of solar photovoltaic adoption: An integrated neural networks and agent-based modelling approach

(2021) Ali Alderete Peralta et al.   APPLIED ENERGY

Utility Load Research: The Future of Load Research Is Now

(2020) Curt Puckett et al.   IEEE Power & Energy Magazine

Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review

(2019) Maher Milad Aburas et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

A Data-Driven Bottom-Up Approach for Spatial and Temporal Electric Load Forecasting

(2019) Chengjin Ye et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM

(2019) Min-Rong Chen et al.   IEEE Internet of Things Journal

Spatial-temporal growth model to estimate the adoption of new end-use electric technologies encouraged by energy-efficiency programs

(2019) Mario A. Mejia et al.   ENERGY

EnLSTM-WPEO: Short-Term Traffic Flow Prediction by Ensemble LSTM, NNCT Weight Integration, and Population Extremal Optimization

(2019) Feixiang Zhao et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Electrification and the Future of Electricity Markets: Transitioning to a Low-Carbon Energy System

(2018) Ryan Jones et al.   IEEE Power & Energy Magazine

Distribution network planning considering technology diffusion dynamics and spatial net-load behavior

(2018) Fabian Heymann et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Simulating urban dynamics in China using a gradient cellular automata model based on S-shaped curve evolution characteristics

(2017) Xiaoping Liu et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Calibrating a Land Parcel Cellular Automaton (LP-CA) for urban growth simulation based on ensemble learning

(2017) Yimin Chen et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata

(2017) Yao Yao et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

A hybrid dynamic and fuzzy time series model for mid-term power load forecasting

(2015) Woo-Joo Lee et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Estimation of a preference map of new consumers for spatial load forecasting simulation methods using a spatial analysis of points

(2015) Joel D. Melo et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Forecasting the urban power load in China based on the risk analysis of land-use change and load density

(2015) Y.X. He et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities

(2015) Franklin L. Quilumba et al.   IEEE Transactions on Smart Grid

Grid-based simulation method for spatial electric load forecasting using power-law distribution with fractal exponent

(2015) Joel D. Melo et al.   International Transactions on Electrical Energy Systems

Determining spatial resolution in spatial load forecasting using a grid-based model

(2014) Joel D. Melo et al.   ELECTRIC POWER SYSTEMS RESEARCH

Multi-Agent Simulation of Urban Social Dynamics for Spatial Load Forecasting

(2012) Joel D. Melo et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A Cellular Automaton Approach to Spatial Electric Load Forecasting

(2010) Edgar Manuel Carreno et al.   IEEE TRANSACTIONS ON POWER SYSTEMS