Recently there has been much interest in time-of-use (TOU) pricing structures for electric utilities. TOU pricing reflects more closely than conventional pricing the cost components of supplying electricity, which vary over the course of a single day as well as over days of the week and seasons of the year. Although such pricing structures have long been used in Europe, they did not receive much attention in the United States prior to 1974.
BemdtErnst R.WoodDavid O. “Technology, Prices, and the Derived Demand for Energy.” Review of Economics and Statistics57. No. 3 (August1975): 259-268.
2.
BemdtErnst R.SavinN. Eugene. “Estimation and Hypothesis Testing in Singular Equation Systems with Autoregressive Disturbances.” Econo-metrica43, No. 5-6 (September-November1975): 937-957.
3.
ChristensenLaurits R.JorgensonDale W.LauLawrence J. “Transcendental Logarithmic Production Frontiers.” Review of Economics and Statistics55, No. 1 (February1973): 28-45.
4.
ChungChinbang. “Econometric Modeling of the Industrial Demand for Electricity by Time of Day: An Application to the California Cement Industry.” Paper presented at the EPRI Workshop on Modeling and Analysis of Electricity Demand by Time of Day, June1978.
5.
DiewertW. E. “Applications of Duality Theory.” In Frontiers of Quantitative Economics, edited by M. D. Intriligator and D. A. Kendrick. Amsterdam: North-Holland, 1974
6.
Econometrica International. Development of Methods for Forecasting the National Industrial Demand for Energy. Palo Alto, Calif.: EPRI, July1976
7.
Halvorsen, Robert. Industrial Demand for Energy. Washington, D.C.: National Bureau of Economic Research, May1977
8.
Lawrence, Anthony C., Forecasting and Modeling Time-of-Day and Seasonal Electricity Demands. Palo Alto, Calif.: EPRI, December1977
9.
Pacific Gas & Electric Co. Time-of-Use Rates for Very Large Customers. Third Annual Report, March 31, 1980.
10.
PanzarJohn C.WilligRobert D. “Theoretical Determinants of the Industrial Demand for Electricity by Time of Day.” In Forecasting and Modeling Time-of-Day and Seasonal Electricity Demands, edited by A. Lawrence. Palo Alto, Calif.: EPRI, December1977
11.
ZellnerA. “An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias.” Journal of American Statistical Association57, No. 298 (June1962): 348-368.